ML Remote Jobs

269 Results

+30d

Senior ML & Data Engineer

XeBrazil, Remote
MLDevOPSDesignmobileapidockerpythonAWSbackend

Xe is hiring a Remote Senior ML & Data Engineer

At XE, we live currencies. We provide a comprehensive range of currency services and products, including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services through our website, mobile apps and by phone. Last year, we helped nearly 300 million people access information about the currencies that matter to them, and over 150,000 people used us to send money overseas. Thousands of businesses relied on us for information about the currency markets, advice on managing their foreign exchange risk or trusted us with their business-critical international payments. At XE, we share the belief that behind every currency exchange, query or transaction is a person or business trying to accomplish something important, so we work together to develop new and better currency services that put our customers first. We are proud to be part of Euronet Worldwide (Nasdaq: EEFT), a global leader in processing secure electronic financial transactions. Under Euronet, we have brought together our key brands – XE, HiFX and Currency Online– to become the business that XE is today.

The Senior ML and Data Engineer will be responsible for designing, building, and maintaining the infrastructure, platform, and processes required to successfully deploy and manage machine learning models in a production environment. This includes tasks such as developing Entity Resolution Solutions, building production features, and integrating ML solutions into production systems. 

This role will work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes. The role will also be responsible for identifying and implementing best practices for managing and optimizing machine learning models in production. 

Thea ideal candidate for this role will have extensive experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. Experience working with cloud computing platforms such as AWS or GCP is a plus. 

 

What You'll Do

  • Build and maintain production-level real-time and batch MLOps pipelines. 
  • Deploy backend and real-time machine learning features and models. 
  • Design and develop multiple ML microservices and APIs. 
  • Monitor and optimize the performance of machine learning systems in production. 
  • Work closely with data scientists and software engineers to ensure the successful integration of machine learning microservices into existing systems and processes. 
  • Mentor junior engineers and provide technical leadership within the team. 
  • Stay updated with the latest advancements in machine learning and data engineering technologies and methodologies. 

Who You Are

  • Degree in Computer Science, Software Engineering, or a related discipline. 
  • Extensive experience in developing and maintaining API services in a cloud environment. 
  • Strong object and service-oriented programming skills in Python to write efficient, scalable code. 
  • Knowledge of modern containerization techniques - Docker, Docker Compose. 
  • Experience with relational and unstructured databases and data lakes. 
  • An understanding of business goals and how data policies can affect them. 
  • Effective communication and collaboration skills. 
  • A strong understanding of the concepts associated with privacy and data security. 
  • Proven experience in mentoring and leading engineering teams. 
  • Familiarity with CI/CD pipelines and DevOps practices. 

Perks & Benefits

  • Annual salary increase review
  • End of the year bonus (Christmas bonus)
  • ESPP (Employee Stock Purchase Plan)
  • 30 days vacation per year
  • Insurance guaranteed for employees ( Health, Oncological , Dental , Life Insurance)
  • No fee when using RIA service/wire transfers

We want Xe to be a great place to work and to ensure that our communities are represented across our workforce.  A vital part of this is ensuring we are a truly inclusive organisation that encourages diversity in all respects. 

At Xe we are committed to making our recruitment practices barrier-free and as accessible as possible for everyone.  This includes making adjustments or changes for disabled people, neurodiverse people or people with long-term health conditions. If you would like us to do anything differently during the application, interview or assessment process, including providing information in an alternative format, please contact us on recruitment@xe.com 

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+30d

Senior ML & Data Engineer

XeEl Salvador, Remote
MLDevOPSDesignmobileapidockerpythonAWSbackend

Xe is hiring a Remote Senior ML & Data Engineer

At XE, we live currencies. We provide a comprehensive range of currency services and products, including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services through our website, mobile apps and by phone. Last year, we helped nearly 300 million people access information about the currencies that matter to them, and over 150,000 people used us to send money overseas. Thousands of businesses relied on us for information about the currency markets, advice on managing their foreign exchange risk or trusted us with their business-critical international payments. At XE, we share the belief that behind every currency exchange, query or transaction is a person or business trying to accomplish something important, so we work together to develop new and better currency services that put our customers first. We are proud to be part of Euronet Worldwide (Nasdaq: EEFT), a global leader in processing secure electronic financial transactions. Under Euronet, we have brought together our key brands – XE, HiFX and Currency Online– to become the business that XE is today.

The Senior ML and Data Engineer will be responsible for designing, building, and maintaining the infrastructure, platform, and processes required to successfully deploy and manage machine learning models in a production environment. This includes tasks such as developing Entity Resolution Solutions, building production features, and integrating ML solutions into production systems. 

This role will work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes. The role will also be responsible for identifying and implementing best practices for managing and optimizing machine learning models in production. 

Thea ideal candidate for this role will have extensive experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. Experience working with cloud computing platforms such as AWS or GCP is a plus. 

 

What You'll Do

  • Build and maintain production-level real-time and batch MLOps pipelines. 
  • Deploy backend and real-time machine learning features and models. 
  • Design and develop multiple ML microservices and APIs. 
  • Monitor and optimize the performance of machine learning systems in production. 
  • Work closely with data scientists and software engineers to ensure the successful integration of machine learning microservices into existing systems and processes. 
  • Mentor junior engineers and provide technical leadership within the team. 
  • Stay updated with the latest advancements in machine learning and data engineering technologies and methodologies. 

Who You Are

  • Degree in Computer Science, Software Engineering, or a related discipline. 
  • Extensive experience in developing and maintaining API services in a cloud environment. 
  • Strong object and service-oriented programming skills in Python to write efficient, scalable code. 
  • Knowledge of modern containerization techniques - Docker, Docker Compose. 
  • Experience with relational and unstructured databases and data lakes. 
  • An understanding of business goals and how data policies can affect them. 
  • Effective communication and collaboration skills. 
  • A strong understanding of the concepts associated with privacy and data security. 
  • Proven experience in mentoring and leading engineering teams. 
  • Familiarity with CI/CD pipelines and DevOps practices. 

We want Xe to be a great place to work and to ensure that our communities are represented across our workforce.  A vital part of this is ensuring we are a truly inclusive organisation that encourages diversity in all respects. 

At Xe we are committed to making our recruitment practices barrier-free and as accessible as possible for everyone.  This includes making adjustments or changes for disabled people, neurodiverse people or people with long-term health conditions. If you would like us to do anything differently during the application, interview or assessment process, including providing information in an alternative format, please contact us on recruitment@xe.com 

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+30d

Vice President of Offensive Security Services & Research

Cobalt.ioRemote East Coast, US
MLBachelor's degreec++

Cobalt.io is hiring a Remote Vice President of Offensive Security Services & Research

Vice President of Offensive Security Services and Research

Who We Are

Cobalt was founded on the belief of a fundamental human aspiration: the desire to live better and safer. It all started in 2013, when our founders realized that pentesting can be better. Today our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective and collaborative Offensive Security Testing that empower organizations to OPERATE FEARLESSLY and INNOVATE SECURELY.

Our customers can start a pen-test in as little as 24 hours and integrate with advanced development cycles thanks to the powerful combination of our SaaS platform coupled with an exclusive community of testers known as the Cobalt Core. Accepting just 5% of applicants, the Cobalt Core boasts over 400 closely vetted and highly skilled testers who jointly conduct thousands of tests each year and are at the forefront of identifying and helping remediate risk across a dynamically changing attack surface.

Cobalt is an Equal Opportunity Employer and we strive to build a diverse and inclusive workforce at our company. At Cobalt we aspire to engage with diverse individuals, communities, and organizations in order to continue to nurture our unique rich diverse culture. Join our team, and be your true self to do your best work. 

Description

The Vice President of Offensive Security Services & Research plays a pivotal role in shaping the organization's strategic direction. This executive leadership position involves collaborating with the CEO and other senior leaders to develop and implement long-term business strategies that drive growth, enhance competitive advantage, and ensure alignment with the organization's mission and vision.

What You'll Do

  • Set and execute strategy for our security services, security delivery, community, and research teams. 
  • Own and drive the standard of quality of our services. Regularly review/revise the guidelines and execution methodologies for our services to continue offering high-quality results.
  • Engage the Cobalt Core, ensuring that we recruit and retain the best security testers for our community. 
  • Work with product management and finance to price offerings and meet internal margin targets.
  • Work with product management to continuously innovate and execute our product strategy, particularly using automation and AI to improve our offerings.
  • Represent Cobalt at industry conferences and customer events.

You Have

  • Deep technical domain knowledge in offensive security
  • 7 + years experience delivering offensive security services, such as penetration testing, red teaming, and vulnerability assessments
  • Experience managing and developing high performing teams 
  • Experience launching and growing a cybersecurity product or service and managing the P&L
  • Ability to create business cases for investment decisions and work cross functionally to prioritize investments and launch new products
  • Dynamic public speaker with excellent communication and presentation skills
  • Experience with open source software, threat detection, and test content generation 

Nice to Have

  • Experience building a community of cybersecurity professionals 
  • Experience working with AI and ML tools to improve security offerings
  • Experience leading internal security and IT teams
  • Located in the USA's East Coast timezone

As part of our committed team, you will enjoy

  • Competitive compensation package commensurate with experience.
  • Comprehensive health, dental, and vision benefits.
  • The chance to work closely with visionary leaders and industry experts.
  • A collaborative and inclusive work culture that values your contributions.
  • Opportunities for professional development and growth within the organization.

Pay Disclosure

Cobalt is committed to fair and equitable compensation practices. The salary range for this role is ($200,000 - $300,000) per year + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.  The salary range may differ in other states and be impacted by proximity to major metropolitan cities. 

Diversity at Cobalt

With over 45 nationalities already at Cobalt (and counting), we respect and celebrate diversity! We’re proudly committed to equal employment opportunities regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. We support each other and are grateful for each Cobalter's contribution to our mission — let's make security dance! Please apply even if you don't meet all the criteria above but are still interested in the job. Nobody checks every box, and we're looking for someone excited to join the team.

Cobalt is an E-Verify employer. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA). It allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.

Cobalt (the "Company") is an equal opportunity employer, and we want the best available persons for every job. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws and providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.

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+30d

Staff Software Engineer, ML Services

ecobeeRemote in Canada
MLDevOPSRabbitMQDesignmobileazurejavapythonAWSNode.js

ecobee is hiring a Remote Staff Software Engineer, ML Services

Hi, we are ecobee. 

ecobee introduced the world’s first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution. 

In 2021, ecobee became a subsidiary of Generac Power Systems.Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together,we take pride in making a meaningful difference to the environment.

Why we love to do what we do: 

We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide comfort, efficiency, and peace of mind for millions of homes and businesses. While we’re proud of what we’ve done so far, there’s still a lot we can do—and you can be part of it.  

Join our extraordinary team. 

We're a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with a satellite office in Leeds, UK (and remote ecopeeps in the US). We get to work with some of North America and UK's leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We’re always looking for curious, talented, and passionate people to join our team.

This role is open to being 100% remote within Canada while our home office is located in Toronto, Ontario. You may be required to travel to Toronto once per quarter for team and/or company events.  

Who You’ll Be Joining:

You will be part of the dynamic data engineering and machine learning services group at ecobee focused on leveraging data to enhance the smart home experience for customers. This team is responsible for building and maintaining the data infrastructure and machine learning capabilities that power intelligent features across ecobee’s product ecosystem, such as integrated AI services, energy optimization, home automation, personalized climate control, predictive maintenance.

How You’ll Make an Impact:   

  • Design Scalable Product Architecture: Develop robust, scalable architectures that support machine learning capabilities within the Energy and Smart Security business at ecobee, integrating multiple data sources (thermostat telemetry, geofence signals, motion events, etc.) while ensuring designs fit seamlessly with ecobee’s broader architecture and meet long-term scalability needs.
  • Complex Problem Solving: Tackle high-complexity problems that require detailed cross-domain knowledge, addressing significant ambiguity, and working with incomplete data. Collaborate across teams to solve challenges where solutions impact multiple domains.
  • Architectural Impact: Contribute to ecobee’s system architecture with designs that have been battle-tested, resulting in significant, long-lasting impact within a specific domain. Solutions are expected to integrate elegantly with ecobee’s broader enterprise architecture and align with company-wide standards.
  • Enterprise-Wide Architecture: Start to think beyond individual components or domains, considering ecobee’s broader architectural strategy. Collaborate with principal engineers and directors to ensure designs complement the company’s vision.
  • Ownership & Delivery: Take end-to-end ownership of full components within your domain of expertise, ensuring that their design, implementation, testing, deployment, and operations meet high standards. These components will likely interact with systems in other domains, requiring careful consideration of cross-team dependencies.
  • Code Quality & Debugging: Consistently deliver high-quality, maintainable code. Lead by example in debugging tough, stack-wide issues, finding root causes, and implementing effective solutions.
  • Forward-Thinking & Strategic Initiatives: Anticipate future challenges and propose technical solutions that prevent future roadblocks. Participate in evaluating and recommending new technologies and frameworks for the product group.
  • Mentorship & Collaboration: Actively mentor other engineers, guiding them toward concrete goals and fostering a culture of feedback and knowledge sharing. Lead or participate in design reviews, post-mortems, and code reviews.
  • Innovation & Impact: Drive innovative improvements to processes and best practices across the engineering organization. Contribute to novel solutions that influence ecobee’s engineering direction and deliver measurable, high-impact results across multiple teams and domains.
  • Cross-team Collaboration: Facilitate and lead discussions across squads, ensuring inclusive decision-making processes and cross-functional buy-in on technical solutions and business decisions. Serve as a trusted advisor and leader within ecobee’s engineering community.

What You’ll Bring to the Table:    

  • 10+ years of experience in software engineering, with a proven track record of owning and delivering complex, cross-domain projects at scale.
  • Expertise in system design, architecture, and the development of large-scale, high-availability and security systems.
  • Very high proficiency in multiple programming languages and frameworks including Python, Java, Go, Node.js, etc.
  • Expertise in messaging queue processing (e.g., RabbitMQ, Kafka) and real-time data handling.
  • Experience with device telemetry, understanding its limits, and how to design systems that effectively use telemetry data to enhance functionality.
  • Experience working with with deep learning architectures and frameworks (e.g. Pytorch, Tensorflow) and leveraging such frameworks to build scalable features
  • Familiarity with MLOps stacks like Kubeflow, MLFlow, Sagemaker and proven experience in deploying machine learning features at scale
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience optimizing database performance and system tuning, ensuring that database and application interactions are fast, reliable, and scalable.
  • Demonstrated ability to debug tough, stack-wide issues across multiple environments, finding root causes and implementing long-term fixes.
  • Demonstrated ability to mentor, lead technical discussions, and contribute to a collaborative engineering culture.
  • Experience with DevOps principles, CI/CD pipelines, and ensuring operational excellence.
  • Familiarity with IoT technologies and connected devices is an asset.
  • Strong debugging skills, with experience solving complex, stack-wide issues that involve mobile devices and cloud-based services.

Just so you know: The hired candidate will be required to complete a background check. 

What happens after you apply:   

Application review. It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.  

Interview Process 

  • A 30-minute phone call with a member of Talent Acquisition  
  • 45 minutes interview with the candidate with Director of Engineering. This is to discuss experience designing and building scalable data architectures, pipelines, and processing systems.
  • 90 minutes with staff and senior engineers for technical interview on System Design & Architecture and coding challenge
  • The final interview will be a 90 minutes interview divided into two parts where you will meet with the Director and VP of Engineering

With ecobee, you’ll have the opportunity to: 

  • Be part of something big: Get to work in a fresh, dynamic, and ever-growing industry.  
  • Make a difference for the environment: Make a sustainable impact while on your daily job, and after it through programs like ecobee acts. 
  • Expand your career: Learn with our in-house learning enablement team, and enjoy our generous professional learning budget. 
  • Put people first: Benefit from competitive salaries, health benefits, and a progressive Parental Top-Up Program (75% top-up or five bonus days off). 
  • Play a part on an exceptional culture: Enjoy a fun and casual workplace with an open concept office, located at Queens Quay W & York St.ecobeeLeeds is based at our riverside office on the Calls. 
  • Celebrate diversity: Be part of a truly welcoming workplace. We offer a mentorship program and bias training.  

Are you interested? Let's make it work. 

Our people are empowered to take ownership of their schedules with workflows that allow for flexible hours. Based on your job, you have an option of a office-based, fully remote, or hybrid work environment. New team members working remotely, will have all necessary equipment provided and shipped to them, and we conduct our interviews and onboarding sessions primarily through video.

We’re committed to inclusion and accommodation. 

ecobee believes that openness and diversity make us better. We welcome applicants from all backgrounds to apply regardless of race, gender, age, religion, identity, or any other aspect which makes them unique. Accommodations can be made upon request for candidates taking part in all aspects of the selection process. Our recruitment team is happy to answer any questions candidates may have about virtual interviewing, onboarding, and future work locations.

We’re up to incredible things. Come and be part of them. 

Discover our products and services and learn more about who we are.  

Ready to join ecobee? View current openings. 

Please note, ecobee does not accept unsolicited resumes.  

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+30d

Parallel Works - Software Engineer Team Lead

1871 Member CompaniesUnited States, Remote
MLazureAWSbackend

1871 Member Companies is hiring a Remote Parallel Works - Software Engineer Team Lead

About Us:

Parallel Works is a Chicago-based startup focused on technical computing for science, engineering and business applications. The Parallel Works SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and supercomputing environments. The platform acts as middleware between these wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups and research organizations creating innovative computing and ML pipelines to the world’s leading flood modeling engineers to government weather and defense agencies to global automotive suppliers.

The Role:

This position involves development and enhancement of the Parallel Works platform, which runs on all three leading public cloud platforms: AWS, Azure and Google Cloud. You’ll be responsible for developing the core platform and its backend services. You will interact with HPC job schedulers, cloud APIs, workflow management frameworks, and container systems to create a responsive, reliable, and user friendly system. Parallel Works provides developers the rare opportunity to interact with cutting edge cloud and on-premises technologies. We are very interested in hearing from individuals with experience architecting high performance computing clusters, parallel file systems, high throughput networking, and GPU clusters.

Required Experience

Minimum:

  • BSci in Computer Science or related field.
  • 5-7+ years of programming experience in Golang or TypeScript WebSockets RabbitMQ or other queue based software architecture
  • Database experience with MongoDB and PostgreSQL
  • Distributed computing, good understanding of how software is load balanced and deployed in production
  • Tunneling and port forwarding
  • Comfortable with Linux operating system, command-line shell interpreters and scripting techniques
  • Experience writing and maintaining unit and integration tests

Desired Experience:

  • Advanced degree (MSci or PhD) in Computer Science
  • Automation experience using Terraform, Ansible, and Python scripting
  • Familiarity with HPC schedulers such as PBS and Slurm Maintain up-to-date knowledge of cloud resources and design patterns in AWS, GCP, and Azure
  • Deploying containerized applications on Kubernetes, Docker and Singularity Architecting high performance computing clusters - on cloud and/or on premises

Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check

Health, Dental, Vision, 401k

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1871 Member Companies is hiring a Remote Parallel Works - Project Manager

About Us

Parallel Works is a Chicago-based startup focused on technical computing for science, engineering and business applications. The Parallel Works ACTIVATE SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and supercomputing environments. The platform acts as middleware between these wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups and research organizations creating innovative computing and ML pipelines to the world’s leading flood modeling engineers to government weather and defense agencies to global automotive suppliers.

The Role

In your role as Project Manager you will lead and coordinate projects in High-Performance Computing (HPC) environments. The ideal candidate will possess a strong technical background in HPC, an understanding of computational workflows, and proven experience in managing complex technical projects. In this role, you will work closely with cross-functional teams, including Software and HPC engineers, research scientists, IT professionals, and stakeholders, to deliver HPC projects on time, within scope, and on budget.

Responsibilities

  • Define project objectives, scope, timelines, and deliverables for HPC projects.
  • Develop detailed project plans, coordinate team schedules, and ensure timely completion of milestones.
  • Track project progress and adjust plans as necessary to ensure successful delivery.
  • Act as the primary point of contact for stakeholders, including researchers, engineers, and executive sponsors.
  • Proactively identify and mitigate project risks, ensuring smooth and reliable project execution.
  • Communicate project updates, risks, and impacts clearly and effectively to stakeholders at all levels.
  • Collaborate with teams to prioritize requirements and allocate resources effectively.
  • Work with technical teams to ensure projects meet performance standards and industry requirements.
  • Identify and implement process improvements to enhance project outcomes and efficiency.
  • Maintain comprehensive project documentation, including technical specifications, progress reports, and post-project evaluations.

Required Experience

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 5+ years of project management experience, preferably in an HPC or high-performance technical environment.
  • Experience managing projects related to HPC and web software Familiarity with project management methodologies (e.g., Agile, Waterfall) and tools (e.g., JIRA, MS Project).
  • Certification in Project Management (PMP, PMI-ACP, etc.) is a plus.
  • Coding Experience is a plus.

Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check.

Health, Dental, Vision, 401k

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+30d

Senior Machine Learning Scientist - NLP

EcoVadisBarcelona, Spain, Remote
MLMaster’s DegreeDesignazurepython

EcoVadis is hiring a Remote Senior Machine Learning Scientist - NLP

Job Description

We are looking for a highly motivated Senior Machine Learning Scientist (NLP)to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society. You will be part of the team of 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.

Your global responsibilities will include (but will not be limited to):

  • Working with large, complex data sets to solve challenging business problems by applying advanced analytical methods as needed

  • Articulating and translating business questions into technical solutions

  • Leveraging Python, MLflow,  Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions

  • Building, benchmarking, and maintaining machine learning models

  • Promoting best practices in machine learning

  • Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value

  • Staying on top of technology trends in the area of, but not limited to, AI and ML and apply this knowledge to the key challenges ahead of EcoVadis 

Qualifications

Education and experience

  • PhD or Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science, Physics) 

  • 5+ years of overall experience in machine learning and data mining techniques

  • Demonstrable experience in using  machine learning techniques and algorithms for classification/regression problems in industry

  • Proficiency in Python and ML frameworks and libraries (e.g., TensorFlow, PyTorch)

  • Excellent understanding of architectures used in NLP, such as transformers and RNN models, and NLP tasks (e.g., named entity recognition(NER),  entity linking, question answering, semantic search) 

  • Ability  to independently design testable software components in well scoped scenarios, with simplicity, observability and maintenance as key considerations, and to apply best ML and software development practices

  • Experience of cross-functional collaboration in the development of ML products and services (e.g., Engineers, Product Managers) is a plus

Skills, abilities and work standards:

  • Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection. 

  • Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals. 

  • Authentic - Being honest and authentic in communication, feedback and strategy.

  • Results-driven- Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals. 

  • Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources. 

  • Collaborator & Partner- Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating success. 

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+30d

Senior Software Engineer (Generative AI)

ExperianCosta Mesa, CA, Remote
MLLambdajiraterraformairflowsqlslackpythonAWSjavascriptNode.js

Experian is hiring a Remote Senior Software Engineer (Generative AI)

Job Description

The Experian Consumer Services Generative AI team is accelerating Experian's impact by bringing together data, technology, and data science to build game-changing products and services for our customers. We are looking for a Senior Software Engineer, reporting to the Head of AI/ML Innovation, to support developing and integrating our Generative AI Models with Consumer Services products. These new capabilities will help provide Financial Power to All our customers. As a growing team, we embrace a startup mentality while operating in a large organization. We value speed and effect – and our results and ways of working are transforming the culture of the larger organizations around us.

Role accountabilities and essential activities

  • You'll develop and integrate our generative AI solutions with existing software teams building products
  • Develop a scalable machine learning framework for data science products
  • You will develop scalable pipelines, tools, and services for building production-ready machine-learning models
  • Work with our data scientists to pilot our products with beta customers
  • Maintain our culture of simple, streamlined code and full CI/CD automation
  • Develop simple, streamlined, and well-tested ML pipeline components

Qualifications

  • You have 5+ years of experience
  • Strong coding experience in Python with some familiarity to PySpark and SQL
  • Familiarity with popular python libraries such as pandas, numpy, flask, matplotlib
  • Familiarity with the AWS platform and services, including CI/CD automation methods
  • Familiarity with AWS serverless methodology, particularly Fargate, Lambda, ECR
  • Familiarity with CloudFormation, Terraform, or equivalent
  • You have experience working with machine learning or generative AI libraries such as Langchain, llamaindex, Langsmith, and llamaguard
  • Open source Foundation models: llama3, llama2, mistral, falcon, phi
  • Orchestration Frameworks: Mlflow, airflow
  • Some knowledge of javascript (node.js) as a front end
  • You have experience or familiarity with Databricks AI services and Mosaic branded services
  • Comfortable supporting troubleshooting and assessment of production issues when needed
  • You are experienced with monitoring tools such as Splunk, Datadog, Dynatrace
  • Test writing discipline in standard development tools and processes, e.g., gitub, Jira, Slack
  • Record of building and maintaining large-scale software systems in production

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+30d

Tech Lead/CTO

GenesisКиїв, UA - Remote - Hybrid
MLPWAredisterraformRabbitMQazureapiqa.netdockerpostgresqltypescriptkubernetespython

Genesis is hiring a Remote Tech Lead/CTO

Genesis — це українська кофаундингова ІТ-компанія та один з найбільших паблішерів неігрових застосунків. Разом з найкращими підприємцями Центральної та Східної Європи ми створюємо та розвиваємо глобальні технологічні бізнеси. Основні наші ринки — це США, Європа й Африка.

Як кофаундингова компанія, Genesis спочатку надає перспективним стартапам необхідні ресурси та експертизу для розвитку, а потім супроводжує проєкт, поки він не стане самостійним бізнесом. Зараз у нашій екосистемі розвиваються 25 проєктів у чотирьох основних напрямах: мобільні застосунки, онлайн-медіа, e-commerce та R&D.

Ми шукаємо Tech Lead / CTO, котрий має успішний досвід розробки АІ продукту з МL, LLM та хмарними сервісами Azure. Отримавши цю посаду першочерговим пріоритетом в роботі буде визначення правильної ML інфраструктури та архітектури проекту для скейлінгу навантаження.

Продукт, який ми успішно розвиваємо: Футуристичний Social Discovery проект, котрий запущений на ринок США та має вектор на АІ генерації зображень, відео, чатів, тощо.

Стек:NET 8, React, Python (ML), Azure, RabbitMQ, Redis, PostgreSQL, SignalR, Docker, EF Core, Google Cloud Storage, React, Typescript, SCSS modules, PWA, Next.js, Vercel.

Необхідні навички:

  • Технічна експертиза.Глибоке розуміння бекенд-розробки (.Net, Python), фронтенд-технологій (React, React Native), хмарної інфраструктури (Azure, Docker, Kubernetes).
  • Знання принципів MLOps та DevOps.Досвід роботи з ML для розгортання та підтримки моделей машинного навчання в продакшені. Глибоке розуміння конвеєрів CI/CD, контейнеризації та інфраструктури як коду (Terraform).
  • Вирішення проблем та критичне мислення. Сильні аналітичні здібності з можливістю передбачати потенційні проблеми та усувати швидко поточні ботлнеки, оцінювати ризики та розробляти ефективні рішення. Проактивний підхід до визначення можливостей для вдосконалення процесів, інструментів та технологій.
  • Досвід лідерства та управління командою.Успішний досвід керівництва та управління командами розробників. Досвід постановки цілей, управління термінами та доставки високоякісних програмних продуктів в визначені дедлайни.
  • Відмінні комунікативні навички.Здатність формулювати складні технічні концепції як технічним, так і нетехнічним зацікавленим сторонам.

Зона відповідальності:

  • Проектування архітектури системи.Визначення загальної архітектури системи, забезпечте її масштабованість та безпеку.
  • Масштабованість та оптимізація продуктивності.Розробка архітектури системи, яка буде пристосована до великомасштабних розгортань, з можливістю ефективного масштабування по мірі зростання проекту. Впровадження стратегій оптимізації продуктивності, включаючи балансування навантаження, кешування та асинхронну обробку. А також, моніторинг та оптимізація продуктивності системи, забезпечення низької затримки, високої доступності та мінімального часу простою.
  • Інтеграція та інтероперабельність.Контроль інтеграцій різних підсистем, включаючи бекенд API, фронтенд інтерфейси, хмарну інфраструктуру.
  • Керівництво командою.Керування командою, що включає таких спеціалістів як BE, FE, ML, QA, DevOps.
  • Планування та виконання проектів.Контроль дедлайнів проекту, встановлення проміжних етапів та забезпечення дотримання стандартів якості.
  • Комунікація із стейкхолдерами.Роль посередника між командою розробників та стейкхолдерами. Озвучення технічних концепцій та статус проекту зрозумілою, дієвою інформацією для нетехнічних стейкхолдерів.
  • Рев’ю коду та технічна документація.Проведення код ревʼю, для забезпечення високої якість коду, дотримання архітектурних принципів та передачу знань всередині команди.

Що ми пропонуємо:

  • Комфортні офіси на київському Подолі з надійними укриттями та наявністю безперебійного інтернету, водопостачання та електроживлення. В офісах можна не турбуватися про рутину: тут на тебе чекають сніданки, обіди, безліч снеків та фруктів, лаунжзони, масаж та інші переваги офісного життя;
  • Гнучкий графік роботи;
  • За потреби — допомога з релокацією в безпечні місця та пошуком житла;
  • Онлайн-послуги корпоративного лікаря, а після випробувального терміну — медичне страхування в Україні;
  • 20 робочих днів оплачуваної відпустки на рік, необмежена кількість лікарняних;
  • Усю необхідну для роботи техніку;
  • Компенсацію найкращих на ринку курсів, корпоративні онлайн-мітапи та лекції, велику бібліотеку, бізнес- та менеджмент школи для співробітників;
  • Безкоштовні тренування з бігу, волейболу, боксу та йоги.
  • Корпоративні знижки на абонементи в спортзали.

Приєднуйся до нашої команди перформерів, практиків та глобальних ченджейкерів!

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+30d

Data Engineer

Clover HealthRemote - Canada
MLremote-firsttableauairflowpostgressqlDesignqac++pythonAWS

Clover Health is hiring a Remote Data Engineer

At Clover, the Business Enablement team spearheads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple, we make it easy for the business to do what’s right for Clover. 

We are looking for a Data Engineer to join our team. You'll work on the development of data pipelines and tools to support our analytics and machine learning development. Applying insights through data is a core part of our thesis as a company — and you will work on a team that is a central part of helping to deliver that promise through making a wide variety of data easily accessible for internal and external consumers. We work primarily in SQL, Python and our data is stored primarily in Snowflake. You will work with data analysts, other engineers, and healthcare professionals in a unique environment building tools to improve the health of real people. You should have extensive experience leading data warehousing projects with advanced knowledge in data cleansing, ingestion, ETL and data governance.

As a Data Engineer, you will:

  • Collaborate closely with operations, IT and vendor partners to understand the data landscape and contribute to the vision, development and implementation of the Data Warehouse solution.
  • Recommend technologies and tools to support the future state architecture.
  • Develop standards, processes and procedures that align with best practices in data governance and data management.
  • Be responsible for logical and physical data modeling, load and query performance.
  • Develop new secure data feeds with external parties as well as internal applications.
  • Perform regular analysis and QA, diagnose ETL and database related issues, perform root cause analysis, and recommend corrective actions to management.
  • Work with cross-functional teams to support the design, development, implementation, monitoring, and maintenance of new ETL programs.

Success in this role looks like:

  • First 90 days:
    • Develop a strong understanding of our existing data ecosystem and data pipelines.
    • Build relationships with various stakeholder departments to understand their day to day operation and their usage and need of Data Eng products.
    • Contribute in the design and implementation of new ETL programs to support the growth and operation efficiency of Clover.
    • Perform root cause analysis after issues have been identified and propose solutions for both short term and long term fixture to increase the stability and accuracy of our pipelines.
  • First 6 months:
    • Provide feedback and propose opportunities for improvement on current data engineering processes and procedures.
    • Work with platform engineers on improving data ecosystem stability, data quality monitoring and data governance.
    • Lead discussion with key stakeholders, propose, design and implement new data eng projects that solve critical business problems.
  • How will success be measured in the future?
    • Continue the creation and management of ETL program and data assets.
    • Be the technical Data Eng lead of our data squad’s day to day operation.
    • Guide and mentor other junior members of the team.

You should get in touch if:

  • You have a Bachelor’s degree in Computer Science or related field along with 5+ years of experience in ETL programming.
  • You have professional experience working in a healthcare setting. Health Plan knowledge highly desired, Medicare preferred.  
  • You have expertise in most of these technologies: 
    • Python 
    • Snowflake 
    • DBT
    • Airflow 
    • GCP
    • AWS
    • BigQuery
    • Postgres 
    • Data Governance 
    • Some experience with analytics, data science, ML collaboration tools such as Tableau, Mode, Looker

#LI-Remote

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.We are an E-Verify company.


Benefits Overview:

  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
  • Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Flexibility to work from home, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Clover:We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.


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+30d

Application Development Engineer - AI

AristaNashua, NH, Remote
MLOpenAI8 years of experienceagiletableauDesignapidockerkubernetespythonAWS

Arista is hiring a Remote Application Development Engineer - AI

Job Description

Arista Networks seeks a Software Developer with expertise in building and implementing advanced software tools, machine learning models, and NLP/LLM solutions. The Application Development Engineer (ADE) will play a key role in developing ML-driven applications and leveraging LLMs to address complex, data-rich challenges, collaborating closely with cross-functional teams throughout the development lifecycle.

We value a proactive team player with attention to detail, strong problem-solving abilities, and experience with Agile frameworks. If you're experienced in deploying large language models, NLP applications, and advanced ML methodologies, we’d love to connect.

Who You’ll Work With

Work a team of Data Scientists in design, train and deploy models and partner with business users to train and fine tune before final deployment.

What You’ll Do

  • Collect, process, and clean large datasets from various structured and unstructured sources.
  • Develop NLP and LLM-based applications tailored to business needs, such as text analysis, summarization, and conversational agents.
  • Design, implement, and optimize machine learning and LLM models, including transformers and language generation techniques.
  • Apply statistical analysis, machine learning, and NLP techniques to solve complex, data-driven business problems.
  • Select appropriate data representation techniques for LLM models, including embeddings and tokenization.
  • Perform hyperparameter tuning, model evaluation, and retraining for LLMs and other ML systems as needed.
  • Develop and maintain data ingestion / parsing processes that support rapid prototyping and deployment of LLM-based solutions.
  • Visualize and present insights to stakeholders, leveraging data visualization tools.
  • Troubleshoot, debug, and enhance existing ML and AI systems.
  • Recommend and implement model improvements based on performance metrics.
  • Document technical processes, model architectures, and findings for reference and reporting.
  • Collaborate with cross-functional teams to develop and deploy data-driven, NLP-powered solutions.
  • Stay current with advancements in LLMs, and machine learning techniques.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, or a related field; or equivalent experience.
  • 5-8 years of experience in ML/NLP model development, with exposure to LLM applications.
  • Experience in deploying models in production environments, monitoring them and improving the performance.
  • Proficiency in Python and SQL.
  • Deep understanding of NLP techniques (tokenization, embeddings, transformers) and experience working with LLM frameworks such as Hugging Face Transformers, OpenAI API, or similar.
  • Solid foundation in data structures, data modeling, and software architecture.
  • Knowledge of statistical methods, probability, and algorithms, with a focus on text analytics.
  • Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and familiarity with NLP tools like spaCy or NLTK.
  • Proficiency in data visualization (Tableau, Power BI, Matplotlib).
  • Familiarity with Jupyter Notebooks for collaborative research.
  • Experience in Agile development methodology.
  • Strong analytical, creative, and team-oriented mindset.
  • Willingness to learn and adopt new technologies.
  • Excellent communication skills and a troubleshooting mindset.

Nice to Have:

  • Knowledge of networking technologies.
  • Experience in building RAG and agentic AI applications with streamlit, gradio, or similar frameworks.
  • Experience in containerization and orchestration (Docker, Kubernetes).
  • Exposure to cloud platforms (AWS, GCP) for ML model deployment.

#LI-SP1

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EDC Consulting is hiring a Remote SME - Must Be US Citizen with Active Secret Cleaance

Job Description

MUST Be A US Citizen with Active Secret Clearance!

Hybrid Remote - Washington, DC Metro Area, for periodic and possible last minute meetings.

We Are The Employer!

  • Prepare an installation package of a modified RATE system that is capable of running within an IL5 environment to accommodate receipt, processing and storage of Controlled Unclassified Information (CUI).
  • Showcase the technical feasibility of deploying RATE applications within IL5 environments by installing it and running it on a target IL5 environment and using raw physiological measurement data from wearables in a simulation test harness.
  • Install, Test and IVV RATE IL5 Software and demonstrate a RATE installation in an IL5 computing environment with Controlled Unclassified Information (CUI)
     

Qualifications

REQUIRED QUALIFICATIONS: 
Recent hands on experience with the above listed skills, including IL5, Wearable Technology, Artifical Intelligence, (i.e. ML, DL, etc.), Internet of Things, (i.e. IoT), on/in an Enterprise DoD systems, as Software Engineer, Solution Engineer, Test Engineer or Solution Architect, with prefered Rapid Assessment of Threat Exposure (RATE) expereince.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CLEARANCE: Active Secret.

Hybrid Remote - Washington, DC Metro Area, for periodic and possible last minute meetings.

We Are The Employer!

#HiringImmediately #IL5 #Job #WearableTechnologiy #Artifical Intelligence #DoD #ML #DL #IoT #InternetOfThings WeAreTheEmployer #LongTermWork #IL5 #CSP #CUI #RapidAssessmentOfThreatExposure #RATE #Employmnet #Career
 

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+30d

Enrichment Operations Analyst II

InstacartCanada - Remote (ON, AB or BC Only)
MLsqlqa

Instacart is hiring a Remote Enrichment Operations Analyst II

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

 

About the Role - In this role, you will partner closely with Catalog Product, ML, and Engineering and play a critical role in driving the “how” and execution of how we tackle Catalog goals on creating, scaling, and maintaining the accuracy of new catalog attributes (e.g. gluten-free) that are used to power experiences on the app (e.g. search filters, badges, ML models). This includes enabling our ML model pipelines used to generate data at scale through building LLM prompts, creating ground truth datasets, and evaluating the performance of ML models. You will use SQL to pull and analyze data in your day-to-day work. You will also be responsible for managing 3rd party vendors that provide catalog product data that is surfaced to customers. 

 

About the Team -The Enrichment Operations team sits within the Catalog Engineering organization. We partner with Catalog Product, Engineering, Data Science, and Machine Learning (ML) to create and measure the quality of new catalog data/attributes that are used to power customer experiences in all Instacart products (e.g., Marketplace, Caper, Storefront Pro). The catalog/product data are the foundation upon which customer experiences are built.

 

About the Job 

AI Enablement (40%)

    • Scale attribute data generation using ML. Collaborate with ML on attribute ML models and human-in-the-loop methodologies. You are responsible for building ground truth datasets, advising ML on what input data should be used, and building LLM prompts. You will also develop sourcing strategies on the best way to generate data for new attributes to power customer experiences. This requires thinking from both a technical/data point of view while also understanding how data should be presented to a customer on the app.
    • Evaluate model outputs (including criteria to decide on accuracy of outputs) to provide feedback to the ML team to improve models. This may involve reviewing and leading work from QA team members.

Driving Cross-Functional Projects (40%)

    • Collaborate with Product, Engineering, Data Science, and ML to execute on projects that roll up to catalog OKRs (e.g., increase attribute coverage).
    • Independently lead key projects and manage against catalog OKRs. This involves collaborating and aligning with a cross-functional team of technical and non-technical stakeholders to achieve the goals of a project within a defined timeframe. 

Analytics and Vendor Management (20%)

    • Manage relationships and data pipelines with 3rd party vendors and data providers that provide catalog data to Instacart. Use SQL to analyze data and present data-driven business recommendations. 

 

About You

Minimum Qualifications

  • 1-3 years of working experience in roles that involved project management, project delivery, stakeholder management, strategy and operations, and/or data analysis/analytics.
  • Bachelor’s degree in business, commerce, economics, IT management, or related field.
  • Experience leading cross-functional projects end-to-end, with strong communication and stakeholder management skills. Experience working closely with Product, Engineering, ML, and DS teams preferred. Proven track record of strong ownership and bias to action to drive key business results.
  • Ability to blend business acumen with technical understanding to drive operational strategy and execution.
  • Intermediate knowledge in Excel, Google Sheets, and SQL. Experience using analytical skills to pull, analyze, and make data-driven business decisions.

 

Preferred Qualifications

  • Experience working with databases that contain large volumes of structured and unstructured data. Working knowledge of APIs and data integrations.
  • Experience working at an e-commerce, retail, or technology company.
  • Experience crafting LLM prompts.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta and British Columbia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$80,000$89,000 CAD

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+30d

Senior Machine Learning Engineer

TruebillRemote, Washington, District of Columbia, United States
MLDesignbackend

Truebill is hiring a Remote Senior Machine Learning Engineer

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Machine Learning Engineers on the Data team at Rocket Money further our mission by building data products that deepen customer relationships with our many financial products. Our team of data scientists and machine learning engineers builds machine learning driven product experiences that identify and engage customers who would benefit from mortgage and personal loan products. We integrate with product and engineering teams to understand, explain, predict, and intervene to improve product retention. Machine learning engineers also support growth operations by designing ML driven personalization experiences in onboarding. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML powered user experiences, and can deliver solutions within engineering teams.

ABOUT THE ROLE ????‍♀️

In this role, you will focus on the following types of problems:

  • Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams. Use your expertise in ML system and model design to delight our customers with new user experiences. Work with engineering teams to build software to deliver new experiences to Rocket Money’s customers.
  • Optimize to continuous product feedback loops - you understand that machine learning is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver user-facing machine learning products in an incremental way.
  • Help develop the next version of Autopilot and Budgets. Ensure members have money in the right place at the right time for their near and long term goals. Warn them when they do not.
  • Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models.
  • Design and conduct experiments to estimate the impact of new ml driven products, customer messaging, and marketing. You know how to use experimentation to build the strategic case for more tailored ML product experiences.
  • Build anomaly detection systems, ensuring that our transaction categorization systems produce accurate data for our users and tracking when they don’t.

Regardless of the challenges you dive into, you will:

  • Work within cross-functional teams to build new products and services, especially with engineering.
  • Become a subject matter expert in your area of specialty - making key decisions on both implementation and scope while balancing technical and business goals.
  • Become an expert on our members. Understand their needs and financial goals. Work with product to define strategy and engineering teams to create software and build features that help our members build better financial lives.
  • Design ML system and model architecture to aid product delivery, both internal and external.
  • Be a steward of good instrumentation and experimental design - designing systems to measure the impact of ML powered products in a way that is measurable, testable, repeatable, and robust.
  • Extend internal tooling that improves the data science and ML product implementation - help accelerate the work of others on engineering and data teams.
  • Participate in code reviews, contribute to product and technical design, and maintain a high degree of quality in our production data.

ABOUT YOU ????

  • You are a team player - collaboration and communication are a first instinct and key tool for getting stuff done. You continually seek feedback on your work and err on the side of over communicating.
  • You care about products, not publications. Solving user problems is of key importance for you, not necessarily finding esoteric problems. We love recovering academics that aren’t looking in the rearview.
  • You can collaborate with stakeholders to define tasks, defining cross-functional work independently to achieve strategic goals
  • You know how to deliver products incrementally - doing the simple thing first, finding and measuring signal, and iterating to build better user experiences.
  • Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
  • You have strong software engineering skills. You can contribute up and down the application stack to deliver data products to users. Evidenced experience working with engineering teams to build software is an absolute must.
  • You have a lot of tools in your methodological tool belt and are prolific in testing multiple approaches.
  • You have 3+ years of professional experience working in a data science or machine learning engineering capacity. You know your way around databases, data warehouses, models, and how to engineer backend machine learning and data science systems. Bonus points if you have experience integrating data products into application front ends. You are equally adept at hacking together proof of concepts and working within engineering teams to build scalable, durable systems.
  • You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are an ML engineer first but an expert data scientist and analyst when necessary.
  • You want to continue to grow and learn. You are excited by hard problems and big challenges.
  • Experience in fintech, banking, or finance is a plus.

WE OFFER ????

  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)

Additional information: Salary range of $180,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

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+30d

Principal Product Manager, Tax Credits

GustoDenver, CO;San Francisco, CA;New York, NY;Atlanta, GA;Austin, TX;Chicago, IL;Los Angeles, CA;Miami, FL;Seattle, WA;Toronto, Ontario, CAN - Remote
MLDesign

Gusto is hiring a Remote Principal Product Manager, Tax Credits

 


About Gusto

Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide.

Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about ourTotal Rewards philosophy

By the Numbers

  • Named #1 best software for small businessof 2024 by G2
  • 2,700+ employees in the United States, Canada, Mexico, and Turkiye and growing
  • Over $500M in annual revenue The SMB market is large (and growing!) with huge opportunities for Gusto to make an incredible impact for SMBs
    • There are 6.2M employers in the US, 98% have fewer than 100 employees (1)
    • 550,000 new businesses are created each year in the US(1) 

What Product Management is like at Gusto:

  • We’re looking for high-autonomy, entrepreneurial Product Managers to come build high-impact solutions for small businesses and their employees. We believe in high-ownership Product Managers who operate like business owners - owning an entire roadmap end to end and shipping product all the way from strategy through to the nitty gritty details (some describe this kind of role as a “GM” type role)
  • Our Product team is lean, which means you’ll have a high degree of impact and ownership
  • We’re here to serve small and medium businesses. Gusto has a strong mission-driven culture, and we care deeply about lifting up these business owners 

About the Team:

The Tax Credits team is a “mini startup” within Gusto, and an incredibly talented group of people that have a mix of deep customer empathy, domain expertise, and a strong desire to innovate. Our mission is to grow and add value to our customer base, and continually test and refine tools designed to help these customers unlock savings through tax credits and grants. If you enjoy uncovering & solving big problems, driving lean experimentation, building 0 to 1 product experiences, and making a big impact on the lives of small business owners, we’d love to hear from you.

Here’s what you’ll do day-to-day:

  • Ownership: Spearhead the development of a product & business aimed at unlocking value for existing Gusto customers as well as expanding Gusto’s customer base to new segments
  • North Star: Unlocking savings for SMBs through tax credits and grants
  • Collaborate: Partner closely with Engineering, Design, Ops and Data Science on all stages of the product development process, and partner with the GM and Revenue team to grow the business and optimize its unit economics
  • Lead product discovery to uncover and deeply understand customer problems and test risky assumptions
  • Run lean experiments and A/B tests to quickly prove out hypotheses and test new concepts. Always looking for ways to get stronger signal on new ideas
    • Rapidly execute and iterate with an emphasis on user delight, impact, and learning. Regularly take risks and make calculated tradeoffs
  • Create a long-term vision and strategy that defines the big problems we can solve well with durable competitive advantage

Here’s what we're looking for:

  • 8+ years of hands-on Product Management experience 
  • Proven track record of building 0 to 1 products with nice to haves in:
    • Building 0 to 1 products in highly regulated categories
    • Experience building personalized products or optimized workflows using Gen AI/ ML
  • Strong product discovery skills with the ability to navigate a high degree of ambiguity
  • The intangibles: natural curiosity, grit, customer obsession, and attention to detail
  • The ability to tell a compelling story that drives alignment and inspires action
  • Strong collaboration skills; ability to quickly build trust quickly
  • A passion for helping small businesses

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $181,000/yr to $223,000/yr in Denver & most major metro locations, and $212,000/yr to $262,000 for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Where do PMs at Gusto work?

We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. We are actively hiring for the following Centers of Gravity: Toronto, Canada, Atlanta, GA, Austin, TX, Chicago, IL, Denver, CO, Los Angeles, CA, Miami, FL, and Seattle, WA. Our open roles will specify on the careers page and in the job description where the position is eligible for work.

 (1)Business Applications with Planned Wages (www.census.gov)


Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 daysper week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.


Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

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+30d

Databricks

Software MindKraków, Poland, Remote
MLDesignpythonAWS

Software Mind is hiring a Remote Databricks

Job Description

Project – the aim you’ll have

Our partner is a healthcare company that combines clinical research with clinical care to improve patient health outcomes. The company uses its unique technology and health algorithms to match patients with appropriate clinical trials, optimize study outcomes, and better support patients in their participation. The company has expertise in clinical research across gastroenterology, dermatology, urology, oncology, biomarkers, and metabolic disorders. Based in Nashville, Tennessee, the company employs over 100 people.Our customer also utilizes artificial intelligence and machine learning to analyze data and identify patterns that can help improve patient health outcomes.

Position – how you’ll contribute

  • Develop and maintain ML algorithms and workflows on Databricks to assess patient risk and screen and match patients for clinical trials based on historical health records.
  • Collaborate with clinical and technical teams to analyze user flows, optimize data integrations, and provide insights through complex data migration analysis.
  • Utilize AWS, Python, and data modeling techniques to ensure high-quality, scalable, and secure data solutions.
  • Generate impactful reports and dashboards to support clinical research insights and optimize patient matching.
  • Design and implement ETL processes for integrating with third-party applications, leveraging tools like Redox (preferred) for seamless EHR connectivity.

Qualifications

Expectations – the experience you need

  • Proven experience with Databricks and AWS environments.
  • Proficiency in Python and hands-on experience with data modeling and reporting tools.
  • Familiarity with EHR (Electronic Health Records) data, clinical workflows, and patient data privacy standards is beneficial.
  • Experience in data migration and third-party integrations, with familiarity with Redox being an advantage.

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+30d

Senior Machine Learning Engineer

MLFull TimeDesignapipythonAWSbackend

IntelliPro Group Inc. is hiring a Remote Senior Machine Learning Engineer

Senior Machine Learning Engineer - IntelliPro Group Inc. - Career PageIntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not disc

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+30d

Senior Data Engineer

OuraHelsinki,Uusimaa,Finland, Remote Hybrid
MLS3agilesqlgitdockertypescriptpythonAWS

Oura is hiring a Remote Senior Data Engineer

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped 2.5 million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

We are looking for a Senior Software Engineer to join our Data & ML Platform team. 
You’ll join a platform team focused on two major internal systems that support many internal Oura users and several production features:

  • Oura’s Datalake
  • Cloud MLOps systems

Concretely, you will be:

  • Building, operating and improving systems to move, process and store large amounts of data (Terabyte-Petabyte scale) leveraging tools such as: AWS Kinesis, S3, Spark / Glue, Athena, dbt, iceberg, snowflake, docker, workflow engines, and more.
  • Building components that support the handling of datasets, training, testing and release of new on-device and cloud-based ML models.
  • Independently collaborating with different stakeholders including Data Scientists, Testing, Firmware, Hardware to define and implement improvements and new functionality.
  • Supporting internal datalake consumers in their day-to-day work.
  • Writing python code (mostly) and some typescript code.

We hope that following can be said about you:

  • 4+ years of experience developing and operating production systems.
  • Experience running, monitoring and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
  • Experience with programming languages such as Python and Typescript. Willingness to code in Python is required since a large part of our codebase is Python.
  • Good architectural understanding of event driven architectures, workflow engines, database and datawarehouse systems.
  • Enjoy writing maintainable and well-tested code
  • Follow common practices: version control (git), issue tracking, unit testing and agile development processes
  • Generalist and pragmatic approach to development. Knowledge of various programming languages is a plus.
  • Ability to build infrastructure and components following best practices such as CI/CD and infrastructure as code.
  • Broad knowledge of software fundamentals, databases, warehouses and system design.
  • You can write well-structured, testable and high-performance code.
  • You are familiar with some of the following:
    • Workflow engines, Stream processing, Spark, Athena, SQL, dbt
  • You are self-motivated, proactive, and bring energy to the teams and projects you work on.
  • You are driven by value creation and overall impact.

Not required but potentially relevant:

  • Knowledge of ML, particularly relevant if with PyTorch.

As a company we are focused on improving the way we live our lives. From the people who use our product to the team behind it, we work to empower every person to own their inner potential.

Location

In this role you can work remotely in Finland as well as from our easy-to-reach Helsinki or Oulu offices.

  • If working remotely, availability to occasionally travel to the office is expected (for example for workshops and team gatherings)

Benefits

  • Competitive Salary
  • Lunch benefit
  • Wellness benefit
  • Flexible working hours
  • Collaborative, smart teammates
  • An Oura ring of your own
  • Personal learning & development program
  • Wellness Time Off

If this sounds like the next step for you, please send us your application as soon as possible, but by November 17th the latest.

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, socioeconomic status, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

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+30d

Full-Stack Software Engineer

ExperianHeredia, Costa Rica, Remote
MLSalestableausqlDesignazureapicssangularpythonAWSjavascript

Experian is hiring a Remote Full-Stack Software Engineer

Job Description

Experian is looking for an experienced Full-Stack Software Developer to support our growing Experian Housing and Verification Business. You will improve the development of Mortgage Capital Market solutions. You will design, implement, and automate data and platform solutions, and deploying machine learning models for both client. You will work with very complex and different data sets such as mortgage loan-level data, Residential Mortgage-Backed Securities data, Climate Risk and economic datasets to develop solutions across the mortgage lifecycle, including servicing, risk management, and capital markets.

Main Responsibilities:

  • Understand the analytic and product needs of the mortgage servicing and capital markets industry through interactions with internal product management, sales leaders, clients, and partners.
  • Work with the product team to understand the customer problem, requirements and brainstorm on solution
  • Design cost-effective solutions and create an incremental delivery plan
  • Support analytical projects from solution design to implementation, ensuring data integrity and automation.
  • Architect and build data pipelines and platform design to help deploy data solutions from back-end databases and data lakes to front-end platform UI.
  • Develop and maintain data pipeline infrastructure and front-end solutions.
  • Experience approaching a problem from different angles, analyzing pros and cons of different solutions and data products and services, while enhancing current processes and offerings.
  • Develop dashboards and reports using data visualization tools.
  • Communicate analysis results to internal users through presentations.
  • Evaluate new data sources and apply machine learning, deep learning, data mining, and text mining techniques to uncover data value.
  • Collaborate with a team of consultants, statisticians, analysts, and project managers.
  • Manage project queues and develop streamlined workflows with teams.

Qualifications

  • Advanced degree in a related quantitative field (Data Science, Computer Science, Math, Statistics, Engineering, Physics, or Economics).
  • Basic experience with API services (Restful) for data ingestion.
  • Fundamental experience with Large Language Models and GenAI for augmenting data solutions.
  • 5+ years of experience in analytics in financial services and/or the mortgage industry.
  • Advanced experience with Python API (PySpark), SQL, scripting languages (e.g., Python), and familiarity with statistical/mathematical programming languages (e.g., R, SAS).
  • Experience with front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js.
  • Experience in cloud-based development environments and automation tools such as AWS and Airflow.
  • Background in ML Ops and end-to-end modeling platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML).
  • Experience with data visualization and dashboarding tools such as Tableau (preferred).
  • Expertise in statistical analysis, machine learning techniques, predictive modeling, and data mining.
  • Experience communicating updates and resolutions to customers and other partners to both technical and non-technical audiences.

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+30d

Senior Data Scientist (Platform)

AgeroRemote
MLMaster’s DegreeairflowsqlB2Bc++pythonAWS

Agero is hiring a Remote Senior Data Scientist (Platform)

About Agero:

Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading dispatch management platform powered by Swoop; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually. Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.agero.com/.

Position Summary:

This position is focused on driving innovation in the core business, including but not limited to, predicting operations performance, short-term forecasting, improving dispatching efficacy, simulation and analyzing data from our network of roadside assistance service providers and extensive call-center operations. An ideal candidate would assist stakeholders in understanding and making use of insights gained from statistical analyses and building predictive models. The platform machine learning team is a highly collaborative cross-functional team with Machine Learning engineers, data scientists, software engineers and product management, working together to power the next wave of ML-driven platform enhancements.

Essential Functions:

  • Participate in end-to-end data science projects from problem definition and data exploration to result validation and working with engineers to put models in production.
  • Communicate research results effectively in written and spoken forms to various audiences including product management, engineering and executives.
  • Research and experiment with Agero's extensive datasets to gain new insights and drive innovation.

Possible Projects (within the first 6-12 months):

  • Conduct analysis to help optimize the performance of our dispatching operations.
  • Predictive modeling of job performance indicators to help improve customer satisfaction.
  • Spatial analysis of our service jobs, leveraging weather and other real-time information to assist our operations.
  • Develop ETA prediction models, employing data fusion techniques to improve accuracy.

Requirements:

Education/Experience

This position requires 5+ years of equivalent experience. This experience could come from several paths: e.g., a Ph.D. in a technical field (physical science, engineering, mathematics, computer science, operations research, management science), or a Master’s degree in a technical field and 3+ years relevant experience, or a Bachelor’s degree in a technical field and 5+ years relevant experience.

Skills

  • Statistics and data exploration, knowledge of EDA best practices
  • Advanced SQL experience, experience with Snowflake a plus
  • Experience with A/B testing: designing, sizing and post-analysis
  • Machine Learning with tabular data: knowledge of modeling with tree-based models like XGBoost
  • Strong analytical coding skills in Python, proficient with Python data stack (Pandas, Numpy, Scipy, Matplotlib, PyTorch)
  • Good communication skills both in written (technical documents, Python notebooks) and spoken (meetings, presentations) forms
  • Willing and able to learn and meet business needs, understanding the underlying context
  • Independent, self-organizing, and able to prioritize multiple complex assignments

Nice to Haves

  • Experience running jobs on Airflow or similar orchestrators
  • Experience with cloud computing (ideally AWS)
  • Experience with forecasting methods and libraries (e.g., Prophet)
  • Experience with PyMC3 or PyStan is a plus
  • Experience with Geospatial data is a plus

Hiring In:

  • United States:  AZ, FL, GA, NH, IL, KY, MA, MI, NC, NM, TN, VA, CA
  • Canada: Province of Ontario
  • #LI-REMOTE

D, E & I Mission & Culture at Agero:

We are all Change Drivers at Agero. Each day, we speak to thousands of drivers and tow professionals across one of the most diverse countries in the world. Our mission to safeguard drivers on the road, strengthen our clients’ relationships with their drivers, and support the communities we live and work in unites us together as one force driving positive change.

The road to positive change starts inside Agero. In celebrating each other’s differences, we lift each other up and create space for innovation and community. Bringing our whole selves to work powers our commitment, drive, agility, and courage - ensuring we are not only changing the landscape of the driver services industry, we also are making a difference in the lives of our customers with each call, chat, and rescue.

Agero Benefits Summary
At Agero, we are committed to supporting our associates by providing a comprehensive benefits package designed to promote well-being, personal growth, and financial security. Our benefits include:
  • Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families.
  • Financial Security: 401(k) plan with company match and tuition assistance to support your future goals.
  • Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually.
  • Family Support: Parental planning benefits to assist associates through life’s milestones.
Join Agero and experience a workplace that invests in your success both personally and professionally.

THIS DESCRIPTION IS NOT INTENDED TO BE A COMPLETE STATEMENT OF JOB CONTENT, RATHER TO ACT AS A GUIDE TO THE ESSENTIAL FUNCTIONS PERFORMED. MANAGEMENT RETAINS THE DISCRETION TO ADD TO OR CHANGE THE DUTIES OF THE POSITION AT ANY TIME.

To review Agero's privacy policy click the link:https://www.agero.com/privacy.

***Disclaimer:Agero is committed to creating a diverse and inclusive environment and encourages applications from all qualified candidates. Accommodation is available. Additionally, we offer accommodation for applicants with disabilities in our recruitment processes. If you require accommodation during the recruitment process, please contactrecruiting@agero.com.

***Agero communicates with candidates via text for matters related to submitted applications, questions, and availability for interviews. If you prefer not to receive texts, you can contact Agero's recruiting team directly at recruiting@agero.com.

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