ML Remote Jobs

272 Results

+30d

Machine Learning Engineer - Large Language Models

John Snow LabsRemote, Unknown, Remote
ML

John Snow Labs is hiring a Remote Machine Learning Engineer - Large Language Models

Job Description

We are seeking a highly skilled and experienced Machine Learning Engineer to join our team. The ideal candidate will have a robust background in machine learning, natural language processing (NLP), and Large Language Models (LLMs). The role focuses on training, tuning, and evaluating AI models as part of a diverse team which includes professionals from software engineering, data science, and medicine.

Qualifications

Key Responsibilities:

• Adapt LLMs to diverse healthcare use-cases using techniques such as Sparse Fine-Tuning (SFT), Prompt Engineering Fine-Tuning (PEFT), Direct Parameter Optimization (DPO), and Proximal Policy Optimization (PPO).
• Optimize LLMs for Retriever-Augmented Generation (RAG) to enhance decision-making and information retrieval capabilities.
• Collect, clean, and refine healthcare datasets for training LLMs to ensure high-quality data provisioning.
• Convert models into various formats suitable for production environments, ensuring their readiness for real-world application.

Requirements:

        •  5+ years of hands-on professional experience in software engineering, building production-grade deep learning solutions.
        •  An academic degree in computer science, data science, or a related degree. M.Sc. or Ph.D. degree is strongly preferred.
        •  Demonstrated expertise in model tuning frameworks like Axolotl.
        •   Familiarity with model serving frameworks, including vLLM, TGI, and llama-cpp, to support the deployment and scalability of machine learning models.
        •  Knowledge of model quantization techniques and frameworks to optimize AI models for performance in resource-constrained environments.
        •  Hands-on experience with Transformer architectures and proficiency in machine learning frameworks such as PyTorch.

This role offers an opportunity to be at the forefront of technological advancement in AI and healthcare, contributing to innovations that advance the healthcare, life science, and open-source AI communities. When applying, please add a cover letter which includes the words ‘John Snow Labs’ and explains your academic, professional ML engineering, and recent LLM engineering experience.

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+30d

Sr. Director, CRM

ML ● c++

hims & hers is hiring a Remote Sr. Director, CRM

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

​​About the Role:

The Senior Director, CRM is responsible for developing and implementing strategies to improve our customer communications. This is done by enabling scalable lifecycle campaigns to ensure customers have a great onboarding and active customer experience. The foundation of success will be measuring the effectiveness of this work on the customer journey and building a messaging platform capable of scaling with the growth potential of the business.

This person will lead all aspects of the company’s CRM efforts, not limited to: Email, SMS, push notifications, in-app content & content development. They will also lead development of the staff, processes, and systems necessary to establish a world-class CRM team. This role will integrate with a large cross-functional group to ensure that Hims and Hers CRM growth is accelerating as we continue to evolve as a business, with success expected across the entire customer lifecycle.

You Will:

  • Develop and maintain best-in-class CRM strategy for Hims and Hers product categories that result in strong acquisition and retention metric improvements
  • Manage the CRM team, which includes strategists, managers and directors dedicated to CRM campaign management and technical operations
  • Foster development for all team members and ensure a healthy work environment for all team members
  • Build quarterly road maps of projects to complete to drive channel growth and to support product launches
  • Lead team meetings and ensure all team members are evaluating performance trends and prioritizing the most impactful initiatives
  • Foster collaborative relationships with cross-functional teams that integrate with CRM growth strategy - category growth, analytics, legal, product & telemedicine
  • Interpret key performance metrics, identify trends, and prioritize opportunities for operating income growth through enhancements to customer onboarding, active customer touchpoints & retention strategies
  • Report growth results on a regular basis to the broader growth marketing team, using insights to continually optimize performance and identify growth opportunities
  • Stay abreast of changes in CRM technology, identify best practices, and bring new opportunities and ideas to fruition
  • Identify opportunities for automation leveraging internal/external tools. Act as strategic lead for the integration of AI / ML into CRM strategy
  • Work cross-functionally with Growth, Product, Operations, Business Development and Medical teams to increase site traffic and drive conversion

You Have:

  • 12+ years of hands-on experience managing CRM strategy + lifecycle marketing
  • Experience with various CRM platforms / technology. Braze experience is a plus
  • Proven track record of driving measurable revenue and retention improvements
  • Strong quantitative analysis skills, an affinity for numbers, and the ability to process complex calculations quickly and accurately
  • Functional knowledge of marketing technology and experience with integrating automation in collaboration with product and engineering teams
  • Exceptional customer insights and proven success utilizing analytics to provide strategic recommendations and drive concrete action
  • Strong written communication and presentation skills
  • Self-starter, strong organizational skills, ownership mentality and the ability to prioritize work
  • Ability to work in a highly collaborative environment, multi-task and participate in team-based planning process
  • Experience managing direct reports with multiple years of experience

Preferred Qualifications:

  • Bachelors' degree in Marketing, Business, Technology or related field, or equivalent work experience

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & vision, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • Employee discounts on hims & hers & Apostrophe online products
  • 401k benefits with employer matching contribution
  • Offsite team retreats

 

#LI-Remote

 

Outlined below is a reasonable estimate of H&H’s compensation range for this role for US-based candidates. If you're based outside of the US, your recruiter will be able to provide you with an estimated salary range for your location.

The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.

Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.

An estimate of the current salary range is
$235,000—$275,000 USD

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.

Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.

For our California-based applicants – Please see our California Employment Candidate Privacy Policy to learn more about how we collect, use, retain, and disclose Personal Information. 

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+30d

AI Solution Manager

ServiceNowAddison, TEXAS, Remote
ML ● Ability to travel

ServiceNow is hiring a Remote AI Solution Manager

Job Description

Team

Come join the AI Solution Success team in the Advanced Technology Group (ATG). We are focused on customer-facing and internal projects. You’ll work alongside a team of seasoned professionals working on leading edge, innovative projects to help drive the business. This global team is highly collaborative and shares the best practices. We work on scalable AI (Artificial Intelligence) solutions, so if you are a results-oriented visionary that likes to dream big, come join our team!

Who we are?

We are a team composed of cross-functional SMEs from ATG, Platform, Business Units, Customer Outcomes and QE and multiple customer-focused teams of ML, SW, and QE engineers that bring varied perspectives and diverse expertise to drive customer adoption of AI experiences, as well as guide customer driven innovation within ATG.

What's our purpose?

Accelerate value realization of AI-powered workflows by customers at scale.

What we do?

Work with early adopters to validate AI solutions and realize value by learning and quickly improving the solution on real customer data. We'll create practical playbooks to guide new implementations, boost adoption and drive future product innovation. Some of the work the team has been instrumental at is to improve customer adoption of our multi-language Natural Language Understanding (NLU), AI search, Issue Auto-Resolution and other related AI solutions with customers.

What you get to do in this role:

The AI Solution Manager is responsible for defining, planning & leading programs for the implementation of AI solutions for our customers to solve complex business challenges. This role requires a good understanding of AI and machine learning, as well as the ability to work effectively with cross-functional teams to deliver solutions that meet the needs of our customers. The AI Solution Manager will also be responsible for managing customer relationships and engagements during the program lifecycle, ensuring that our customers are satisfied with our solutions and that they are getting the most out of their AI investments while at the same time ensuring learnings are captured for product improvement.

The AI Solution Manager is responsible for overseeing the successful delivery of the defined solution to meet the customer's requirements within budget and on time, following ServiceNow's NowCreate methodology, and collaborating with the customer project team and partners. The AI Solution Manager ensures proper governance and support from team members, addressing risks and issues. They assemble and lead the ServiceNow resources, track progress, and manage any deviations.

Key responsibilities include:

  • Leading the delivery team, managing engagement governance, timeline, scope, risk, change management, resourcing, reporting, and financials. The AI Solution Manager also manages the business relationship with customers, providing regular updates to both customers and internal executive teams. They work with cross-functional projects, senior-level executives, and customers to deliver a unique customer experience.
  • The AI Solution Manager acts as a thought leader, guiding successful delivery and customer outcomes. They facilitate collaboration, decision-making, and customer buy-in for proposed solutions. Coaching and managing team members to enable achievement of engagement deliverables and desired business outcomes.
  • The AI Solution Manager manages multiple programs simultaneously, identifies gaps, proposes solutions, presents the value proposition to customers during and after the initiative, and actively facilitates capture of the best practices and learnings from both the customer and the internal project team

Qualifications

To be successful in this role you would have:

  • A blend of technical expertise, project management skills, and excellent communication abilities
  • 8+ years in Customer Engagement or Program management roles
  • Skills in business relationship management
  • Prior experience with implementing or supporting ServiceNow products in an Enterprise
  • Strong cross-functional, technical Program & Project Management experience
  • Leading key programs & projects, including strategic customer programs within a fast-paced environment
  • Ability to independently manage complex program objectives
  • Experience defining and capturing product requirements and collaborating with product teams
  • Excellent documentation and presentation skills
  • Ability to communicate abstract ideas clearly
  • Willingness to work hands-on for impactful outcomes
  • Experience with analytics and understanding of metrics and KPIs
  • Thought leadership, critical thinking, and strategic thinking
  • Ability to gather and analyze data to present decision options
  • Excellent negotiation and persuasion skills
  • Facilitation skills in leading meetings, reviews, retrospectives, and customer workshops
  • Strong customer orientation and the ability to anticipate and act
  • Deep curiosity about customer needs and building customer relationships
  • Demonstrated active listening and strong communication skills
  • Ability to collate feedback for new initiatives and areas of improvement
  • Quick learner with the ability to pick up tools, systems, processes and Stays up-to-date on the latest AI and machine learning trends
  • Strong prioritization skills to focus on high-impact activities
  • Interpersonal skills and customer-centric attitude
  • BS/BA degree in computer science, engineering, or related discipline preferred
  • Ability to travel up to 50%
  • Flexibility to work across global time zones

#Prodjobs

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+30d

Sr. Machine Learning Engineer - WFHMD - 153

Global InfoTek, Inc.Reston, VA - Remote
ML ● Full Time ● Rust ● Bachelor's degree ● sql ● Design ● azure ● java ● docker ● kubernetes ● python ● AWS

Global InfoTek, Inc. is hiring a Remote Sr. Machine Learning Engineer - WFHMD - 153

Clearance Level: Top Secret (TS/SCI Eligible)
US Citizenship: Required
Job Classification: Full Time
Location:Remote

Years of Experience: 7 - 10 years

Education Level: Bachelor's Degree or equivalent experience

What Makes this a Great Opportunity:

An exciting remote telework opportunity, to work as a Sr. Machine Learning (ML) Engineer who will be responsible for research, development, implementing, and deploying machine learning models and algorithms to solve a wide range of cyber analytical challenges. You will collaborate with cross-functional teams to identify opportunities for applying machine learning techniques, collect and preprocess data, design, and train models, and deploy solutions into production environments. This role offers an exciting opportunity to work with state-of-the-art technologies and make a significant impact in the field of machine learning. The selected candidate will join a small, talented, highly effective performing team providing and enhancing crucial cyber capabilities. Global InfoTek Inc., (GITI) is looking for a motivated, talented, and creative ML Engineer to join our team!

Position Description:

GITI is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions. A candidate who will work with our data scientists to design, develop, and integrate ML models and algorithms to address specific problems, (e.g., classification, regression, clustering, recommendation systems, etc.), and introduce ML and pattern recognition to discover hidden insights. Successful candidates for this role must have critical thinking skills, be creative, curious, resourceful, and have a passion for conveying a wide range of information through research leading to deeper insights. The candidate may work independently but participate in project-wide reviews of requirements, system architecture, and detailed design documents. Our ML Engineer must collaborate well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results.

  • Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
  • Assist and introduce ML and pattern recognition to discover hidden insights; architect and implement data processing, cleansing, and conducting data integrity and validation actions.
  • Exercise creativity in applying non-traditional approaches to the analysis of unstructured data in support of high-value use cases using multi-dimensional visualization.
  • Implement processing on high-volume, high-velocity data streams.
  • Requires strong technical and computational skills – engineering, physics, and mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced structured data analysis techniques and utilizing high-performance computing environments.
  • Can utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex cyber-security data and deliver recommendations for business and analytic decisions.
  • Recommend and implement interactive reports, visual analytics, and dashboards focused primarily on understanding and using deep packet inspection of structured and unstructured collected digital data.
  • Work closely with data scientists, software developers, and project managers to understand requirements and identify opportunities for applying data analysis techniques.
  • Collect, preprocess, and analyze large datasets to extract meaningful insights and features for model training.
  • Collaborate with software developers to integrate data analytical solutions into production systems and applications.
  • Stay updated on the latest advancements in large data analytics and machine learning research and technologies and identify opportunities for innovation and improvement.
  • Demonstrate ability to research and apply new tools, techniques, and solution approaches. Continually learn and improve your skills through sharing with others and taking advantage of available training sources.

Required Skills:

  • Experience working with machine learning, data science, or related fields.
  • Experience working with cyber-security data.
  • Experience in statistical analysis and visualization of complex data.
  • An understanding and ability to implement data hygiene methods via ETL.
  • Ability to build upon previous analytics capabilities to enable more complex analysis of large datasets, including graphs to generate actionable intelligence.
  • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
  • Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc.).
  • Experience with data processing and analysis tools, (e.g., Python, Sci-Kit, NumPy, SQL, Spark, etc.).
  • Excellent problem-solving and analytical skills, with a keen attention to detail.
  • Strong communication and collaboration skills, with the ability to independently or to work effectively in a team environment; the ability to quickly adapt to changing priorities/requirements.
  • Experience with network traffic inspection tools (e.g., Suricata, Arkime, Zeek, etc.).

Desired Skills:

  • Experience with Apache Spark, Apache Streaming, and Jupyter Hub+ Event Reporter to introduce ML and pattern recognition to discover hidden insights.
  • Working knowledge of networks, network traffic data, and virtual environments.
  • Experience with containerization (e.g., Docker, Kubernetes, Rancher, etc.).
  • Experience with ML methods (e.g., decision trees, neural networks, reinforcement learning, etc.).
  • An understanding and working knowledge to analyze and gain visibility to network metadata, and content, identify malicious code, anomaly detection, and potentially predictive analysis.
  • Working knowledge in programming languages, (e.g., Python, Rust, Go, Java, etc.).
  • Working knowledge with cloud computing platforms, (e.g., AWS, Azure, or Google Cloud, etc.).
  • Familiarity with big data technologies, (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc.).
  • Experience deploying ML models in production environments using containerization technologies, (e.g., Docker, Kubernetes).
  • Publications or contributions to ML-related research projects or open-source initiatives.

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or based on disability.

About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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+30d

Software Engineer, Data Engineering

GrammarlyGermany; Hybrid
ML ● remote-first ● scala ● Design ● python ● backend

Grammarly is hiring a Remote Software Engineer, Data Engineering

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in Germany, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The opportunity 

To achieve our ambitious goals, we are looking for an experienced Software Engineer, Data Engineering, who can lead independently and drive projects end to end. The person in this role will build highly automated, low-latency core datasets to help engineers and end users across Grammarly work with analytical data at scale. They will also create tools and own backend software frameworks, platforms, and tools that other teams can use to build analytics at scale. 

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

The Data Engineering team has a critical mission to equip all Grammarlians with the data and tools they need to build analytical products and make decisions. To deal with the massive scale of data, our team employs software design principles to keep our data healthy and freely flowing. 

In this role, you will:  

  • Build Data Pipelines and Infrastructure for optimal extraction, transformation, and loading data from a wide variety of sources.
  • Design & improve data models, storage structures, and tools for easy data discovery, increased visibility, and accessibility to enable rapid development of Analytics Dashboards and ML experiments.
  • Work closely with ML and Analytics teams to streamline & optimize data delivery and processing and help land business-critical projects.
  • Address data latency and scalability issues and ensure frequent and reliable data refresh for downstream processes.
  • Model structure, storage, and access of data at very high volumes for our data lakehouse.
  • Improve developer productivity and self-serve solutions by contributing components to our stream data processing framework(s).
  • Own data engineering's infrastructure-as-code for provisioning services that allow our engineers to deploy mature software installations within a few hours.
  • Build a world-class process that will allow our systems to scale.
  • Mentor other back-end engineers on the team and help them grow.

Qualifications

  • Has experience building and owning Data Pipelines to structure, enrich, and aggregate data and generate features with technologies like Spark, Flink, Kafka, Kinesis, etc.
  • Leads design reviews and is a driving force to change how data is stored and accessed from the data platform.
  • Is familiar with Python, Scala, or Java.
  • Has experience with designing database objects and writing relational queries.
  • Has experience designing and standing up APIs and services.
  • Has experience with system design and building internal tools.
  • Can knowledgeably choose an open source or third-party service to accomplish what they need or can devise a quick and simple solution on their own.
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
  • Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Support for you, professionally and personally

  • Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
  • A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
  • Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. 

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+30d

Machine Learning Engineer, Growth Lead

GrammarlyNA; Hybrid
ML ● Bachelor's degree ● remote-first ● c++ ● python

Grammarly is hiring a Remote Machine Learning Engineer, Growth Lead

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in the United States or Canada, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Machine Learning Engineer to join our Marketing Technology team. This team is responsible for building systems that empower and enhance the company's marketing efforts and strategies. The person in this role will help shape marketing strategies, improve customer experiences, and optimize marketing campaigns. They will be responsible for leveraging data and advanced algorithms to improve the performance and efficiency of advertising campaigns with the goal of maximizing the return on investment (ROI) for ad spend and delivering targeted ads to the right audience. 

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Lead Machine Learning Engineer of the Growth org, you will transform how ML is applied to solve Growth problems. Your work will directly impact the topline KPIs that Growth team contributes to the overall business. You will lead research and exploration and help establish a robust ML development process for the organization. This is a high-impact role with a direct line of the channel with the area leads and the senior leadership team.

 In this role, you will:

  • Drive business impact by building scalable end-to-end machine learning solutions for challenging marketing problems.
  • Help Growth EPD and Marketing teams make data-driven decisions.
  • Your work will help drive multiple topline KPIs - LTV/CAC, number of activated and retained users, bookings revenue, etc.
  • Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design.
  • Work cross-functionally with various teams, including Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product. 
  • Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.

Qualifications

  • Has solid software engineering fundamentals, including knowledge of classical algorithms and data structures.
  • Has a solid understanding of the principles and best practices of developing software systems on a large scale.
  • Has the ability to apply machine learning algorithms to ad optimization tasks effectively.
  • Has strong knowledge of probability and statistics.
  • Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks.
  • Has experience in the Ad Optimization domain, including knowledge of different types of ad channels, multi-channel budget allocation, and key marketing performance metrics. 
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
  • Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching 
  • Paid parental leave
  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days 
  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
  • Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

United States:
Zone 1: $329,000 – $399,000/year (USD)
Zone 2: $254,000 – $359,000/year (USD)
 
Canada:
Zone 1: $279,000 – $361,000/year (CAD)

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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+30d

Full-Stack Developer / Tech Lead

ML ● mongodb ● typescript ● AWS ● javascript ● backend ● frontend

Incussus Consulting is hiring a Remote Full-Stack Developer / Tech Lead

Job Description

Job Description for Full-Stack Developer / Tech Lead

We're looking for a full-stack developer, preferably 5+ years of experience in building products for start-ups. As you would be joining a start-up, you will have to be comfortable with having multiple responsibilities but will be offered equity, wfh, flexible time, and other benefits in return.

What You’ll Be Doing:

  • You will help build products for HR and Digital Health use cases using the company's core technology.
  • You will work on either frontend or backend or ML or multiple depending on your experience and personal preference.
  • You will help keep the company's tech infrastructure scalable.

Qualifications

Requirements:

  • Cloud-based services like GCP or AWS
  • AI/ML experience with TensorFlow preferred, specifically NLP
  • CI/CD experience
  • Frontend development experience with Vue.js or React
  • JavaScript, TypeScript and NodeJS
  • Must be able to make themselves available to talk with clients and investors on calls as needed.
  • Non-relational database skills, preferably MongoDB
  • Microservice experience preferred

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+30d

Co-Founder and CTO

GlutopiaFremont, CA, Remote
ML ● 3 years of experience ● Design

Glutopia is hiring a Remote Co-Founder and CTO

Job Description

  • Be part of the leadership team to decide on strategies for short term and long term needs of the company and product roadmap.
  • Maintain and scale the existing technologies and build on it.
  • Keep abreast of latest developments in science, medicine and ML as they relate to diabetes therapeutics.
  • Collaborate on study design to feed into products.
  • Align the company's technology resources with the organization's short- and long-term goals.

Qualifications

  • Experience working in early stage startups - from building and scaling to going through fundraising.
  • At least 3 years of experience of working at an intersection of Product development and Software development teams.
  • Great communication and leadership skills and the ability to work in a fast-paced environment.
  • Practical experience with software architecture. Ability to start as an individual contributor and build an engineering team from ground-up. 
  • Experience working directly with front-end and back-end engineers.
  • Ability to adapt to new technologies and to learn new scientific and business concepts.

Useful to have: 

  • Experience with healthcare data especially time-series data.
  • Experience fundraising with VCs, identifying collaborative opportunities with prospects, and defining projects with partners.

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+30d

Principal Data Engineer

ML ● airflow ● sql ● B2C ● RabbitMQ ● Design ● java ● c++ ● python ● AWS

hims & hers is hiring a Remote Principal Data Engineer

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

​​About the Role:

We're looking for an experienced Principal Data Engineer to join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage.

You Will:

  • Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects
  • Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs
  • Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
  • Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
  • Implement and maintain data governance practices to ensure compliance, data security, and privacy.
  • Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
  • Plan and oversee large-scale and complex technical migrations to new data systems and platforms
  • Drive continuous data transformation to minimize technical debt
  • Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
  • Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
  • Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence
  • Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
  • Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
  • Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have:

  • Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
  • Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
  • Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,
  • Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper
  • Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
  • Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
  • Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
  • Analytical and problem-solving skills to address data-related challenges and find optimal solutions
  • Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Nice To Have:

  • Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & vision, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • Employee discounts on hims & hers & Apostrophe online products
  • 401k benefits with employer matching contribution
  • Offsite team retreats

 

#LI-Remote

 

Outlined below is a reasonable estimate of H&H’s compensation range for this role for US-based candidates. If you're based outside of the US, your recruiter will be able to provide you with an estimated salary range for your location.

The actual amount will take into account a range of factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.

Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.

An estimate of the current salary range for US-based employees is
$210,000—$250,000 USD

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

Hims & hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@forhims.com. Please do not send resumes to this email address.

For our California-based applicants – Please see our California Employment Candidate Privacy Policy to learn more about how we collect, use, retain, and disclose Personal Information. 

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+30d

Senior NLP Data Science Researcher (PhD Required, US-based only)

John Snow LabsRemote, REMOTE, Remote
ML ● Design ● freelance ● azure ● api ● docker ● python ● AWS

John Snow Labs is hiring a Remote Senior NLP Data Science Researcher (PhD Required, US-based only)

Job Description

About the Role: Join our team as a Senior NLP Data Science Researcher, where you'll apply advanced Generative AI, LLM, and NLP methods in novel Healthcare projects. This customer-facing role demands a blend of excellent technical prowess, research expertise, and communication skills, with a focus on training and optimizing NLP/LLM models, creating robust Python-based inference pipelines, and conducting thorough data analysis and model validation.

Qualifications

Key Qualifications:
- PhD Degree: Must possess a PhD in Computer Science, Bioinformatics, Statistics, Medicine, Life Sciences, or a related field. A strong academic publishing track record is preferred.
- NLP & LLM Expertise: Demonstrable hands-on development experience in Natural Language Processing and Large Language Models (LLM).
- Software Engineering: Proven experience in coding, software design, and data science is essential. Substantial hands-on expertise with the Python ecosystem of AI libraries is required.
- Data Analysis Acumen: Skilled in exploratory data analysis, data preparation for ML/AI, and statistical evaluation of ML models.
- Communication: Exceptional oral and written communication skills, including in customer facing interactions.
- Research and Publication Skills: Proven ability to take the lead in writing scientific publications. Must have publications from LLM & NLP.
- US Residency: Must be a resident of the United States.

Desirable Skills:
- Production-Grade ML Pipeline Development: Experience in building and managing production-level text processing pipelines, MLOps and LLMOps workflows and tools.
- Technology Proficiency: Familiarity with PyTorch, Spark, Databricks, LangChain, Spark NLP, cloud API’s (AWS, Azure, etc.), and development tools (GitHub, MLFlow, Docker, etc.) is a plus.
- Healthcare Background: A background in medicine, pharma, bioinformatics, or biostatistics is highly advantageous.

The Opportunity: We offer long-term freelance contracts for professionals eager to tackle cutting-edge problems, learn and build your career as part of a world-class team. This role requires a minimum commitment of 30 hours per week and is open to individual applicants only (no agencies or teams, please). 100% remote position.

What We Offer:
- Career Growth: This is a career-defining opportunity that promises to expand your skill set and experience with various tools and techniques.
- Collaborative Environment: Work within a team of clinical and data science experts to make a significant impact.
- State of the Art Technology: Contribute to advancing the state of the art of Healthcare AI, including contributions to open-source projects and peer-reviewed papers.
- Learning and Culture: Opportunities for professional development through knowledge exchange within a global AI community.

Application Process: Qualified and interested candidates should apply by submitting a resume, a list of peer-reviewed publications, and public examples of software code or past projects.

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+30d

Data Driven | Data Scientist Tech Lead

DevoteamLisboa, Portugal, Remote
ML ● OpenAI ● Bachelor's degree ● sql ● azure ● python

Devoteam is hiring a Remote Data Driven | Data Scientist Tech Lead

Job Description

We are looking for a Data Scientist Tech Lead to join our Data-Driven Intelligence:

Qualifications

  • Bachelor's Degree and/or Master's Degree in Computer Science, Engineering, Mathematics or similar;
  • 5+ years of professional experience in developing and implementing ML models;
  • Experience with Machine Learning/DL/Gen-AI libraries (e.g., scikit-learn, Keras, OpenAI);
  • Expertise in MLOps (ideally in both on-prem and cloud contexts);
  • Specific know-how with the Microsoft Stack (e.g., Azure) is a plus;
  • Proficiency in Python and SQL;
  • Interest in co-designing AI solutions with clients, ability to oversee multiple projects simultaneously;
  • Entrepreneurial spirit, with a desire to be a key piece of a new AI/ML team.

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+30d

Data Quality Engineer

ML ● Mid Level ● Full Time ● Bachelor's degree ● sql ● mobile ● ui ● qa

Pixalate, Inc. is hiring a Remote Data Quality Engineer

Data Quality Engineer - Pixalate, Inc. - Career PageSee more jobs at Pixalate, Inc.

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+30d

Lead NLP Engineer

IncreasinglyBengaluru, India, Remote
ML ● Design ● java ● python

Increasingly is hiring a Remote Lead NLP Engineer

Job Description

NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques.

Responsibilities

  • Your ultimate goal is to develop efficient self-learning NLP Search.
  • You will design NLP search algorithms & proof of concepts.
  • You will select appropriate annotated datasets for Supervised Learning methods
  • You will use effective text representations to transform natural language into useful features
  • Find and implement the right algorithms and tools for NLP tasks
  • Develop NLP systems according to requirements
  • Train the developed model and run evaluation experiments
  • Perform statistical analysis of results and refine models
  • Extend ML libraries and frameworks to apply in NLP tasks
  • Study and transform data science prototypes

Qualifications

We would love it if you have

  • BS/MS in Computer Science, Mathematics, Computational Linguistics or similar field
  • Must have 7+ years in elastic search
  • 2+ years of proven experience as an NLP Engineer 
  • NLP techniques for text representation, semantic extraction techniques, data structures and modeling
  • Ability to effectively design software architecture
  • Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithms
  • Good to have: Knowledge of Python, Java and R
  • Ability to write robust and testable code
  • Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • An analytical mind with problem-solving abilities

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+30d

Pénzügyi munkatárs

Dare to changeBudapest, Hungary, Remote
ML

Dare to change is hiring a Remote Pénzügyi munkatárs

Az állás leírása

Te vagy a megfelelő jelölt, ha 

- Önállóan tudsz dolgozni felelősségteljesen, ebben az új furcsa home office világban

- Több ügyet tudsz párhuzamosan kezelni.  Jól szervezed a munkád, az időd és nem kell noszogatni. Getting things done :-)

- Boldogulsz egy KKV teljes pénzügyi adminisztrációjának menedzselésével 

  • Könyvelés előkészítés
  • számlázás
  • kintlevőség kezelés
  • kimutatások készítése (eredmény táblák, cashflow tábla)
  • Számlák költséghely kategórizálása
  • munkaidő nyilvántartás
  • útnyilvántartás
  • megrendelés adminsztráció
  • pénztár kezelés
  • banki utalások előkészítése 
  • szerződések / megrendelők előkészítése
  • szerződéses nyilvántartás vezetése és hiánypótlások menedzselése 
  • munkaügyi folyamatok támogatása (pl: ki-be léptetés, szerződés frissítések, a bérszámfejtést nem beleértve!)

- Magas a technológiai érzékenységed, nem jelent problémát több online eszközt használni. Sőt kimondottan szeretsz felfedezni új szoftver megoldásokat, 

Amire biztos, hogy számíthatsz a napi munkád során: Google drive, szamlazz.hu, XLS, Zoom. 

- Magabiztos tudásod van MS office szoftverek használatában (xls.)

- Szereted egyszerűsíteni, automatizálni a dolgokat

- Támogató típusnak gondolod magad, örömödet leled mások segítésében, akik irtó hálásak, hogy segítesz a munkájuk sikerre juttatásában!

- Szeretsz és tudsz is önállóan dolgozni. Kisebb projektek megvalósításán lesz lehetőséged dolgozni, ahol ügyfeleinkkel, beszállítókkal, partnerekkel lesz lehetőséged beszélni nap mint nap mail-ben és telefonon egyaránt.

- Jó kommunikációs készségekkel rendelkezel írásban és verbálisan is

- A környezeted precíz, alapos embernek ismer és Te is ezt gondolod magadról

- Nem félsz telefont ragadni és felhívni egy vadidegent, hogy megoldj egy problémát

-  Jól szervezed magad és stuktúrálod  munkád annak heti rutinját kezelve a határidők által okozott stresszt. 

- Jelen körülmények között többségében otthonról dolgozunk. Ha ennek vége akkor újra tervezünk irodába járást terveink szerint heti két nap legalább.

 

 

Képzettség

- legalább okj-s pénzügyi végzettséged van vagy diplomával bírsz 

- Legalább 2 éves releváns hasonló munkaköri tapasztalattal bírsz

- alap szintű angol nyelvtudásod van. Megmersz informális környezetben szólalni és írásban használni nem okoz gondot az angol nyelvet.

Előny:

- mérlegképes könyvelő végzettség

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+30d

Machine Learning Team Lead (Product & API)

LanguageWireCopenhagen,Capital Region of Denmark,Denmark, Remote Hybrid
ML ● DevOPS ● S3 ● agile ● tableau ● terraform ● Design ● azure ● api ● qa ● git ● docker ● elasticsearch ● kubernetes ● jenkins ● python ● AWS ● redux ● Node.js

LanguageWire is hiring a Remote Machine Learning Team Lead (Product & API)

LanguageWire is seeking an experienced Machine Learning Team Lead with expertise in product and API development to spearhead our AI/NLP initiatives. Does this role seem interesting? Yes? You should definitely read on!

The role you’ll play

In this critical role, the successful candidate will leverage advanced AI and NLP technologies to enhance our product offerings and expand our capabilities, both for internal and external use. The Team Lead will play a key role in ensuring that our AI innovations are integrated into intuitive products and made available through reliable and robust APIs, significantly benefiting our customers. As a Tech Team Lead, you will provide technical leadership and be responsible for adjacent services and developing the next generation of neural models for machine translation and content generation. 

The team you’ll be a part of

The successful candidate will join a dynamic, cross-functional team at the forefront of AI and NLP technology, dedicated to revolutionizing language services. As a ML Tech Team Lead, you will collaborate closely with Full-Stack Engineers, QA Engineers, Machine Learning Engineers, Data Engineers and report to the Director of Machine Learning.

If you want to make a difference, make it with us by…

  • Oversee a talented team of 5-6 engineers with expertise in machine learning, NLP, full-stack development, AI applications, quality assurance, and product management.  
  • You will steer the technical direction in AI and NLP, establish objectives for your team, foster their career advancement, offer mentorship, and guide them through resolving intricate challenges. Act as a growth catalyst for your team members, spread primarily across Copenhagen and Valencia. 
  • Be the technical authority and product visionary, ensuring our machine learning and AI capabilities are seamlessly integrated into products and exposed through powerful APIs. Take ownership of the AI services lifecycle within your team. Partake in customer support and actively contribute to documenting resolutions and problems. 
  • Advocate for the “you build it, you run it" philosophy to promote a culture of end-to-end ownership and continuous improvement.  
  • Apply a data-driven approach to decision-making, utilizing metrics and feedback to guide product development and API strategy. Guarantee that our machine translation and next gen AI services are not only innovative but also reliable, scalable, available, and speedily delivered to meet the demands of clients. 
  • In this pivotal role, you will lead the charge in engineering groundbreaking AI solutions, pushing the boundaries of what's possible in the language industry. Your mission will be to develop innovative next Gen AI products, transforming how languages are learned, processed, and understood on a global scale. 

In one year, you’ll know you were successful if…

  • You have successfully navigated the team through the challenges of integrating AI technologies into user-friendly products, as evidenced by positive feedback from internal and external stakeholders. You have established robust monitoring and prediction services that support the continuous improvement and scalability of our product offerings.
  • You have introduced innovative machine translation and content generation tools that have measurably improved efficiency and customer satisfaction.
  • You have cultivated a culture of excellence within your team, promoting collaboration, innovation, and professional growth, resulting in high team engagement and retention.

Desired experience and competencies

What does it take to work for LanguageWire?

What you’ll need to bring

  • Expert Knowledge in Python and especially using frameworks like Huggingface Transformers, TensorFlow or PyTorch, Scikit-learn.
  • Experience with neural models based on Transformer architectures.
  • Expert Knowledge in JavaScript/TypeScript for full-stack development and interaction with APIs on the front end. Frameworks like Node.js, Vue.js, Express.js.
  • API Development: RESTful API principles, understanding how to design stateless, secure, and scalable APIs.
  • Expertise in MLOps Tools - Docker: For containerizing applications and models.
  • Kubernetes: For orchestration of containers.
  • CI/CD Tools (e.g., Jenkins, GitLab CI, GitHub Actions): For continuous integration and deployment pipelines. Terraform (IaC).
  • MLflow or Kubeflow: For managing the machine learning lifecycle.
  • Cloud Platforms: Azure, AWS, Google Cloud
  • Data Management: SQL/NoSQL 
  • Data Lakes/ Data Warehousing: Solutions like Amazon S3, Redshift, or Google BigQuery. Apache Kafka or other streaming services for real-time data processing.
  • Redux or Context API: For state management in front-end applications.
  • Version Control and Collaboration: Git: For source code management. GitHub, Azure DevOps: For collaborative development and code reviews.
  • Monitoring and Logging: Prometheus, Grafana, or ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring applications and infrastructure.
  • Security: OAuth, JWT, and other authentication/authorization protocols. Best practices are adopted.
  • Data Visualization and BI Tools: Looker, Tableau, Power BI or similar tools for data analysis and visualization.
  • Agile methodologies and understanding of design workflows and software architecture.

This will make you stand out

  • Experience with LLMs and tuning techniques like QLORA, DPO etc is a plus.
  • Staying updated with the latest developments in the AI community.

Our perks

  • Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas
  • Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture
  • International company with over 400 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg, Zurich, Kiev, Gdansk, Atlanta, Finland and Valencia
  • We offer flexible work options tailored to how you work best. Depending on your team, you may have the option to work full-time from the office as an "Office Bee," part-time from the office as a "Nomad".
  • We take care of our people and initiate many social get-togethers from Friday Bars  to Summer or Christmas parties. We have fun!
  • 43 great colleagues in the Copenhagen office belonging to different business departments
  • Open office space with large windows, bringing a light and chill atmosphere for informal chats with colleagues
  • Catered lunches every day
  • The comfiest couches you will ever sit on
  • Monthly Town Hall events broadcast from the office

About LanguageWire

At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe.

Our values drive our behavior

We are curious. We are trustworthy. We are caring. We are ambitious.

At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.

Working at LanguageWire — why we like it: 

“We believe that we can wire the world together with language. It drives us to think big, follow ambitious goals, and get better every day. By embracing and solving the most exciting and impactful challenges, we help people to understand each other better and to bring the world closer together.”

(Waldemar, Senior Director of Product Management, Valencia)

Yes, to diversity, equity & inclusion

In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work.

LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills.

Want to know more?

We can’t wait to meet you! So, why wait 'til tomorrow? Apply today!

If you want to know more about LanguageWire, we encourage you to visit our website!

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+30d

Machine Learning Team Lead (Product & API)

LanguageWireSpain, Remote
ML ● DevOPS ● S3 ● agile ● tableau ● terraform ● Design ● azure ● api ● qa ● git ● docker ● elasticsearch ● kubernetes ● jenkins ● python ● AWS ● redux ● Node.js

LanguageWire is hiring a Remote Machine Learning Team Lead (Product & API)

LanguageWire is seeking an experienced Machine Learning Team Lead with expertise in product and API development to spearhead our AI/NLP initiatives. Does this role seem interesting? Yes? You should definitely read on!

The role you’ll play

In this critical role, the successful candidate will leverage advanced AI and NLP technologies to enhance our product offerings and expand our capabilities, both for internal and external use. The Team Lead will play a key role in ensuring that our AI innovations are integrated into intuitive products and made available through reliable and robust APIs, significantly benefiting our customers. As a Tech Team Lead, you will provide technical leadership and be responsible for adjacent services and developing the next generation of neural models for machine translation and content generation. 

The team you’ll be a part of

The successful candidate will join a dynamic, cross-functional team at the forefront of AI and NLP technology, dedicated to revolutionizing language services. As a ML Tech Team Lead, you will collaborate closely with Full-Stack Engineers, QA Engineers, Machine Learning Engineers, Data Engineers and report to the Director of Machine Learning.

If you want to make a difference, make it with us by…

  • Oversee a talented team of 5-6 engineers with expertise in machine learning, NLP, full-stack development, AI applications, quality assurance, and product management.  
  • You will steer the technical direction in AI and NLP, establish objectives for your team, foster their career advancement, offer mentorship, and guide them through resolving intricate challenges. Act as a growth catalyst for your team members, spread primarily across Copenhagen and Valencia. 
  • Be the technical authority and product visionary, ensuring our machine learning and AI capabilities are seamlessly integrated into products and exposed through powerful APIs. Take ownership of the AI services lifecycle within your team. Partake in customer support and actively contribute to documenting resolutions and problems. 
  • Advocate for the “you build it, you run it" philosophy to promote a culture of end-to-end ownership and continuous improvement.  
  • Apply a data-driven approach to decision-making, utilizing metrics and feedback to guide product development and API strategy. Guarantee that our machine translation and next gen AI services are not only innovative but also reliable, scalable, available, and speedily delivered to meet the demands of clients. 
  • In this pivotal role, you will lead the charge in engineering groundbreaking AI solutions, pushing the boundaries of what's possible in the language industry. Your mission will be to develop innovative next Gen AI products, transforming how languages are learned, processed, and understood on a global scale. 

In one year, you’ll know you were successful if…

  • You have successfully navigated the team through the challenges of integrating AI technologies into user-friendly products, as evidenced by positive feedback from internal and external stakeholders. You have established robust monitoring and prediction services that support the continuous improvement and scalability of our product offerings.
  • You have introduced innovative machine translation and content generation tools that have measurably improved efficiency and customer satisfaction.
  • You have cultivated a culture of excellence within your team, promoting collaboration, innovation, and professional growth, resulting in high team engagement and retention.

Desired experience and competencies

What does it take to work for LanguageWire?

What you’ll need to bring

  • Expert Knowledge in Python and especially using frameworks like Huggingface Transformers, TensorFlow or PyTorch, Scikit-learn.
  • Experience with neural models based on Transformer architectures.
  • Expert Knowledge in JavaScript/TypeScript for full-stack development and interaction with APIs on the front end. Frameworks like Node.js, Vue.js, Express.js.
  • API Development: RESTful API principles, understanding how to design stateless, secure, and scalable APIs.
  • Expertise in MLOps Tools - Docker: For containerizing applications and models.
  • Kubernetes: For orchestration of containers.
  • CI/CD Tools (e.g., Jenkins, GitLab CI, GitHub Actions): For continuous integration and deployment pipelines. Terraform (IaC).
  • MLflow or Kubeflow: For managing the machine learning lifecycle.
  • Cloud Platforms: Azure, AWS, Google Cloud
  • Data Management: SQL/NoSQL 
  • Data Lakes/ Data Warehousing: Solutions like Amazon S3, Redshift, or Google BigQuery. Apache Kafka or other streaming services for real-time data processing.
  • Redux or Context API: For state management in front-end applications.
  • Version Control and Collaboration: Git: For source code management. GitHub, Azure DevOps: For collaborative development and code reviews.
  • Monitoring and Logging: Prometheus, Grafana, or ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring applications and infrastructure.
  • Security: OAuth, JWT, and other authentication/authorization protocols. Best practices are adopted.
  • Data Visualization and BI Tools: Looker, Tableau, Power BI or similar tools for data analysis and visualization.
  • Agile methodologies and understanding of design workflows and software architecture.

This will make you stand out

  • Experience with LLMs and tuning techniques like QLORA, DPO etc is a plus.
  • Staying updated with the latest developments in the AI community.

Our perks

  • Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas
  • Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture
  • International company with over 400 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg, Zurich, Kiev, Gdansk, Atlanta, Finland and Valencia

About LanguageWire

At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe.

Our values drive our behavior

We are curious. We are trustworthy. We are caring. We are ambitious.

At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.

Working at LanguageWire — why we like it: 

“We believe that we can wire the world together with language. It drives us to think big, follow ambitious goals, and get better every day. By embracing and solving the most exciting and impactful challenges, we help people to understand each other better and to bring the world closer together.”

(Waldemar, Senior Director of Product Management, Valencia)

Yes, to diversity, equity & inclusion

In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work.

LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills.

Want to know more?

We can’t wait to meet you! So, why wait 'til tomorrow? Apply today!

If you want to know more about LanguageWire, we encourage you to visit our website!

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+30d

Operations Analyst

Glean Analytics Inc.United States - Remote
ML

Glean Analytics Inc. is hiring a Remote Operations Analyst

ABOUT GLEAN AI

Glean AI is injectingintelligence into expense management. Founded by fintech veteran and seasoned CFO Howard Katzenberg, Glean AI is an AI-powered spend intelligence solution that saves SMBs money by analyzing expense drivers and finding line-item level insights overlooked by most accounts payable solutions, which are focused on speeding up payment cycles rather than optimizing vendor spend.

Over time, our mission is to become the all-in-one spend management solution for SMBs that uses AI to: analyze spend, manage approval and payment workflows, identify anomalous spend & savings opportunities, benchmark spend performance vs. peers, find & negotiate savings with vendors, and forecast future expense trends.

Glean is every finance team’s best friend!

ABOUT THIS ROLE

We are building the next billion-dollar business in enterprise SAAS. We have an amazing team, with experts in product, engineering, data science, and machine learning. Our team is now 30+ people strong, and we have paying customers today with expectations to continue growing quickly.

A core part of our product is the data pipeline that converts invoice PDFs into clean, mapped vendor spend data.

After we ingest PDFs from clients, we use an ensemble of models (ML and LLM) to automatically extract and map relevant data from invoices. Our Human Oversight team identifies and addresses errors that the models make. The modifications that the Human Oversight team makes within the data pipeline are used to help retrain and improve the quality of our models.

Once the data is mapped to our canonical taxonomy, we have a clean digital invoice-based data asset. We generate insights using this data asset, surfacing line-item level insights to our clients via our web app. From our web app, we have the Human Oversight team audit the data that we have surfaced to our clients.

Your role will be critical to generating this intelligence for our clients. Without excellent, highly accurate data extraction, we will not be able to provide the quality intelligence we want to our clients.

Here is what you will own at Glean:

  • Training and supervising the Human Oversight team.
  • Assisting with the evaluation of the performance of the Human Oversight team on a periodic basis.
  • Actively ensuring timely corrective action when customers and team member identify errors
  • Setting the standard for efficient and quality performance across the Data Pipeline.
  • Collaborating with the customer success team to solve data-related problems.
  • Reprocessing invoices and addressing fires that arise.

You’ll be a perfect fit for the Glean Team if…

  • You want to join an early-stage startupor you are extremely anxious to be challenged at your first startup
  • You like the tension between craft and shipping. You have strong ability to quickly and effectively evaluate tradeoffs and translate them into short/long term business decisions
  • You pride yourself in communicating complex concepts, including the ability to distill intricate workflows and systems into clear processes and decisions with measurable company-wide impact
  • You want to be a successful operator of business processes and a capable manager of a sizable operations team at a fast-growing startup
  • You enjoy working with and learning new technologies
  • You have good attention to detail, responsiveness, and strong communication skills

This role is full-time and fully remote.

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+30d

Full Stack Architect - Contract 12+ months

Darbas, LLCSan Francisco, CA, Remote
ML ● 2 years of experience ● Master’s Degree ● nosql ● RabbitMQ ● Design ● jquery ● mobile ● ui ● api ● UX ● java ● docker ● javascript ● Node.js

Darbas, LLC is hiring a Remote Full Stack Architect - Contract 12+ months

Job Description

We are seeking an Architect for mobile product development at a leading Healthcare IT Group based in Downtown Oakland, California.

The Strategic Technology Programs Group helps enable Telehealth and Physician collaboration and patient care enablement solution on mobile and desktop solutions for the Physician community.

·        The group currently offers Video centric patient care solutions and is working on collaboration tools leveraging computer vision, ML technologies.

·        Products and Solutions portfolio uses complete Microservices Architecture, React/Node JS UX, Java and JavaScript stack with roadmap to enable AI based solutions for healthcare service enablement needs.

Qualifications

SCOPE OF RESPONSIBILITIES:

·        Lead solutions architect and engineer for a group of 8-10 people team with focuses on architecture, design, development of platform and solutions for mobile and web.

·        Full stack solution development supervision with hands-on development.

·        POCs and product development using new technologies including NLP, ML and collaboration technologies.

·        Collaborate with Product Owner/Program Manager/Business and Technical Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.

·        Develop in latest microservices environment with ownership on deployment and resilient development.

·        Develop across the full stack of Web technologies – Persistence, Services, Platform, Performances, and with a focus on great experiences

·        Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change.

·        Perform code reviews and code refactoring to increase application scale, reduce latency and code duplication.

·        Create processes to optimize and automate (wherever possible) development, builds and product quality.

·        Constantly optimize the product and infrastructure for nonfunctional requirements (security, performance, flexibility, scale, and robustness).

·        Constantly evaluate cutting edge technologies and suggest adopting specific technologies to improve business/ product efficiency.

·        Managing the overall production deployment and infrastructure, providing best practice guidelines and process development for the engineering team

·        Create Software Architecture Document, High-Level and Low-Level Design document, Nonfunctional requirements for the project.

·        Define Integration Design and Security Design.

·        Conducting active research on industry wide frameworks, staying abreast of latest technological trends, and integrating them into the platform needs.

Prerequisites :

·        12+ years of consulting and implementation experience in architecting, designing technical solutions to solve project related complex data problems.

·        7+ years designing, building and maintaining large web systems at scale

·        5+ years of experience in technology consulting, enterprise and solutions architecture and architectural frameworks.

·        5+ years of experience in Event Driven and Service Oriented Architectures.

·        5+ years of experience with the Services development (REST and SOAP) Orchestration, API management and secure, role-based solution development.

·        5+ years with MSSQL DB.

·        Mongo Database experience is preferred but can acquired if needed.

·        Development using Docker EE and microservices.

·        Experience in defining new architectures and ability to drive an independent project from an architectural standpoint.

·        Experience in complete project life cycle activities on development and maintenance projects.

·        Experience working with product teams/owners and UX teams.

·        Solid understanding of UI development including HTML/CSS, jQuery, and responsive design from a solution architect and design perspective.

·        At least 2 years of experience with the Node.js, npm.

·        Understanding of messaging systems such as Kafka, RabbitMQ, IBMMQ.

·        Experience with CICD pipeline, Containerization, APIs and Infrastructure as Code.

·        Experience in database design and programming with relational, NoSQL databases.

·        Strong knowledge of software design patterns, Microservices, event driven and Cloud native architectures.

·        Experience in defining solution architecture for large enterprise applications using Java/J2EE, Spring, Microservices, Hibernate and webservices (REST).

·        Experience in implementing Webservices Security using WS-Security, SAML and integrating with Identity provides, LDAP and ADFS.

·        Must have deep experience in enterprise architecture, design patterns and implementation of large scale, secure, distributed, highly concurrent and performance sensitive applications

·        Strong organizational awareness and the ability to work effectively at multiple levels within an organization.

·        Equally comfortable in discussing technical/analytical details with technical thought leaders as explaining technical subject matter with a non-technical audience high-level executive.

·        Outstanding verbal and written communication skills & must have excellent project management skills and have experience managing multiple work streams and projects at one time.

·        Technical Master’s degree preferred (Computer Science, Information Systems, Engineering).

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+30d

Senior Data Scientist

EquipmentShareRemote; Columbia, MO
ML ● c++

EquipmentShare is hiring a Remote Senior Data Scientist

EquipmentShare is Hiring a Senior Data Scientist 

EquipmentShare is searching for a Senior Data Scientist to join our team. This position is fully remote.

Primary Responsibilities

  • Drive ongoing projects using a variety of ML, OR and statistical techniques in a full-stack data science environment
  • Help to identify the highest value next opportunities for data science within a big greenfield space, work cross-functionally to plan and build, and measure your significant business impact via experimentation
  • Help shape best practices within the team, along with mentoring and developing junior data scientists

Why We’re a Better Place to Work

  • Competitive compensation packages 
  • 401 (k) and company match
  • Health insurance and medical coverage benefits
  • Unlimited paid time off
  • Generous paid parental leave
  • Volunteering and local charity initiatives that help you nurture and grow the communities you call home
  • Stocked breakroom and full kitchen (corporate HQ)
  • State of the art onsite gym (corporate HQ)/Gym stipend for remote employees
  • Opportunities for career and professional development with conferences, events, seminars, continued education

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

Minimum Qualifications: 

  • Graduate degree, or equivalent practical experience, in statistics, computer science, machine learning, operations research or related field
  • 5+ years working on technology-powered products as either a data scientist, ML engineer, research scientist or a closely related role
  • Demonstrated understanding of the techniques and methods of modern product development
  • Strong cross-functional communication skills
  • Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

 

#LI-Remote

 

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+30d

Senior Data Scientist, Full Stack

TruebillWashington, D.C., Remote (USA)
ML ● Design ● c++ ● backend

Truebill is hiring a Remote Senior Data Scientist, Full Stack

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 ????

Data Scientists at Rocket Money further our mission by building data products that deepen customer relationships with our many financial products. Our team 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. Data Scientists 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 shape strategy with data, 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 data science is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver user-facing data science 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 products, customer messaging, and marketing. You know how to use experimentation to build the strategic case for more tailored ML product experiences.

Regardless of the challenges you dive into, you will:

  • Become a subject matter expert in your area of specialty and be responsible for leading projects from start to finish - making key decisions on both implementation and scope while balancing technical and business goals.
  • Work collaboratively in cross-functional teams to build new products and services.
  • 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.
  • Use your expertise in ML system and model design to aid product delivery, both internal and external.
  • Be a steward of good instrumentation and experimental design - designing analyses, models, and products in a way that is measurable, testable, repeatable, and robust. You will advocate for experimental approaches in everything that we do.
  • Build internal tooling that improves the data science and ML product implementation - help accelerate the work of others on engineering and data teams.
  • Maintain a high technical bar - participate in code reviews, contribute to product and technical design, maintain a high degree of quality in our production data, and mentor junior team members.

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.
  • You know how to work at a strategic level - you can collaborate with stakeholders to define new projects and initiatives for yourself and others.
  • 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 stakeholders is second nature.
  • Excellent 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 6+ years of professional experience working in a data science capacity. You know your way around databases, data warehouses, 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 embrace the player/coach mindset. You take care to mentor and develop others when leading projects. You’ve helped junior data scientists grow in their careers and you always level up the technical skills of those around you.
  • 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 a data scientist first but an expert analyst when necessary.
  • Deep experience in several of the following in a professional capacity: customer segmentation and personalization, time series modeling, natural language processing, traditional classification/regression problems, design and implementation of experiments, recommendation systems, building generative AI applications in consumer software.
  • You find yourself building tools to help others solve their problems and follow a philosophy of continuous improvement and automation.
  • 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 $160,000 - $200,000/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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