????Cardiff, London, or Remote UK  | Salary £140-£175,000 + stocks + benefits | Hear from the team ✨ 

About our Machine Learning Team:

At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. 

Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling.

What you’ll be working on:

As a Senior Lead ML Scientist, you’ll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist! This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems.

We’re talking about Deep Learning, Graph neural networks, transformers – you’ll have space to design the architecture that will help us take our real time systems to the next level.

Your day-to-day

As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and leading solution development.

You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment.

You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction across multiple squads.

You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards.

This will involve:

• Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to tackle product challenges with Machine Learning.
• Bringing the learnings from your previous successes in designing and building advanced Machine Learning systems to lead advancements in our product development capabilities, for example utilising deep learning, graph-based, and sequence-based architectures.
• Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
• Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:

What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team.
• You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and tackle them without being told to do so
• Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you
• You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices
• you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call
• 45 minute call with hiring manager
• 4 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-REMOTE #LI-NJ1

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

You will play a foundational role in the development of an industry-leading solution that harnesses clinical expertise and AI / ML to enhance acute inpatient utilization management clinical review quality and efficiency. You will apply your clinical expertise to audit acute inpatient authorizations to validate the appropriate level of care, synthesize audit patterns, and help design automation algorithms.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Audit acute inpatient authorizations for unplanned admissions (including authorization data, clinical records, evidence-based guidelines, and nurse clinical review documentation) to validate the appropriate level of care, with a keen focus on quality
• Synthesize patterns across audits and identify opportunities for clinical review automation
• Help build presentations summarizing audit results for internal and external communication 
• Collaborate with cross-functional teams to develop clinical review automation algorithms
• Help evaluate performance of clinical review automation algorithms 

Your background & requirements:

• Registered Nurse (RN), associate or bachelor’s degree
• Top performer with 10+ years of experience conducting payer utilization management clinical reviews or audits for acute inpatient authorizations for unplanned admissions
• Deep understanding of payer end-to-end acute inpatient authorization processes, including policies and procedures (e.g., CMS 2 midnight rule, MCG / Interqual guidelines)
• Independent, objective thinker that doesn’t just take things at face value 
• Extremely diligent with an absolute focus on quality
• Adept at analyzing data to help solve problems  
• Values simplicity; adept at distilling complex clinical concepts into comprehensive, clear, and actionable frameworks
• Passion for and conceptual understanding of how AI / ML can be used to optimize UM
• Natural inclination to look for ways to improve the status quo
• Proficient in key applications (e.g., clinical review apps, spreadsheets, document processors)

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

This is a temporary contract position and the pay rate for this position is $50 to $60 per hour. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

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 ????

Team Luna is Rocket Money’s growth engineering team. From the moment someone first hears about Rocket Money, through their first few days of using the platform, our code makes sure that a user’s first interactions are seamless, valuable, and delightful. We work closely with product, marketing, and data teams on tools and integrations that help us understand our users and drive favorable business outcomes like increased retention, engagement, and ROAS (return on ad spend).

Some of the things we regularly tackle include:

• Coding out experiences across web and mobile through a uniquely iterative, data-driven development process.
• Owning the systems that quickly and reliably bring data into the hands of automated systems, ML models, and decision-makers.
• Helping other dev teams understand and leverage our marketing and analytics stacks.
• Integrating a wide range of products to surface insights about user analytics, attribution, engagement, retention, and satisfaction.
• Leading investments into the the tooling and developer experience of Rocket Money’s technical platform.

ABOUT  YOU????

• You have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes alongside user privacy and experiences.
• You have experience working with some combination of Node/TypeScript, React (or similar framework), GraphQL, and Postgres (or similar relational database).
• You enjoy working within cross-functional groups spanning marketing, data, and finance.
• Nice-to-have: you have experience with growth/marketing engineering, working with tools like MMPs (eg Singular), analytics eventing and data engineering (eg Segment, GTM/GA, Fivetran), BI tools (eg Amplitude, Looker), and/or CRMs (eg Braze).
• You write clean, reliable code across a variety of platforms.

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 $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money 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.

????Location | ???? £85-110,000 + Benefits | Hear from the team ✨

About our Machine Learning FinCrime Team:

Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe. 

Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying.

Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and operational tooling.

What you’ll be working on: 

A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we’ll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models to: 

• Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs
• Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. 

The technical approaches you take to help solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.

Your day-to-day:   

As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. 

This will involve:

• Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning.
• Leading the design and development of advanced real time Machine Learning models, for example exploring how neural network, graph-based, and sequence-based architectures can drive improvements in detection of financial crime.
• Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
• Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:
What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• Reducing financial crime and protecting customers with data driven strategies sounds exciting to you
• You have extensive experience writing production Python code and a strong command of SQL.  You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices 
• you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas

Nice to haves:

• Experience working with financial crime and in regulated institutions
• Commercial experience writing critical production code and working with microservices

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 1 take home task 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance

#LI-REMOTE #LI-NJ1

What you’ll do  

• Lead the Design and Implementation: Using modern data architecture principles, architect and implement cutting-edge data processing platforms and enterprise-wide data solutions. 
• Scale Data Platform: Develop a scalable Platform for optimal data extraction, transformation, and loading from various sources, ensuring data integrity and accessibility. 
• AI / ML platform: Design and build scalable AI and ML platforms to support Transcarent use cases.  
• Collaborate Across Teams: Partner with Executive, Product, Clinical, Data, and Design teams to meet their data infrastructure needs, supporting them with technical expertise. 
• Optimize Data Pipelines: Build and optimize complex data pipelines, ensuring high performance, reliability, and scalability. 
• Innovate and Automate: Create and maintain data tools and pipelines that empower analytics, data science, and other teams to drive innovation and operational excellence. 
• Mentor and Lead: Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement. 

What we’re looking for:  

• Experienced: 10+ years of experience in data engineering with a strong background in building and scaling data architectures in complex environments. Healthcare experience is a plus. 
• Technical Expertise: Advanced working knowledge of SQL, relational databases, and big data tools (e.g., Spark, Kafka). Proficient in cloud-based data warehousing (e.g., Snowflake) and cloud services (e.g., AWS). Proficient in understanding of AI / ML workflows, etc., 
• Architectural Visionary: Demonstrated experience in service-oriented and event-based architecture with strong API development skills. 
• Problem Solver: Ability to manage and optimize processes supporting data transformation, metadata management, and workload management. 
• Collaborative Leader: Strong communication skills with the ability to present ideas clearly and lead cross-functional teams effectively. 
• Project Management: Strong project management and organizational skills, capable of leading multiple projects simultaneously. 

Nice to have: 

• Preferred tech stack: 
  • Data Platforms: Experience with building Data-as-a-Service platforms and API development. 
  • Programming Languages: Proficient in object-oriented scripting languages such as Python, Java, C++, Scala, etc. 
  • Big Data Tools: Expertise with tools like Spark, Kafka, and stream-processing systems like Storm or Spark-Streaming. 
  • Cloud Services: In-depth experience with AWS services (EC2, EMR, RDS, Redshift) and workflow management tools like Airflow. 

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

As a Data Scientist/MLE at IAS, you will be part of a team that is a center of innovation for the company and a major contributor to the company's core products. The Lead Data Scientist will work on challenging technical problems in brand safety, developing and pushing out ML/DL models at scale that classify brand unsafe material for multiple modalities across the digital ecosystem. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, including machine learning, computer science, finance, physics, biology, neuroscience, and economics. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

The ideal candidate has a track record of delivering deep learning based models at scale, enjoys working with cross functional partners from Product and Engineering delivering solutions within strict timelines, and brings innovative solutions to complex problems with a desire to improve the status quo. Additionally, as an early member of our Dublin location, you will also have the opportunity to help build the team from the ground up and shape the office culture.

What you’ll get to do:

• Scope work and projects in the realm of machine learning, focusing on deep learning applications in image/video classification.
• Work with a variety of data sources to build production-ready ML models
• Apply machine learning to novel problems in online advertising 
• Collaborate with engineers to integrate solutions within larger engineering workflows 
• Effectively communicate results from ML/DL models and statistical learnings to a variety of stakeholders within R&D and product organizations
  
  

What you’ll need:

• Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, computer vision, etc)
• Solid research background and experience in computer vision, machine learning, and image/video analysis algorithms.
• 7+ years industry experience, with technical leadership, and experience guiding ML projects from start to finish
• Experience with at least one scripting language such as Python and with deep learning frameworks (tensorflow, pytorch, caffe, etc)
• Familiarity with relational databases and SQL
• Experience with source control workflows and deploying ML models in production
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Experience distilling product requirements into problem definitions, dealing with ambiguity and competing objectives
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

What puts you over the top:

• Practical experience with image/video classification, object detection, speech recognition, machine translation, and similar problems. 
• Publication record in deep learning / neural networks or adjacent fields 
• Experience working with distributed computing tools (Hadoop, Spark, Hive, etc.) and cloud platforms (AWS, GCP)

About Integral Ad Science

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.

To learn more about us, please visithttp://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

#LI-Hybrid

Overview

About the Role - Are you excited about cutting-edge distributed systems, data technologies, ML infrastructure, and scalable designs? Are you inspired by delivering concrete impact to tens of millions of users and partners, while solving some of the toughest technical challenges in a 4-sided marketplace?  Are you passionate about mentoring and growing engineering talent, while instilling and fostering a principled engineering culture?  If so, we have a job for you!  The Ads Engineering team is looking for a seasoned engineering leader to act as the Area Tech Lead of Infrastructure and Systems, reporting directly to the Ads VP of Engineering.  In this role, you will directly contribute to the team’s myriad infrastructure/system innovations, both as an Individual Contributor and as a Tech Lead.  You will lead the team to design a next-generation serving and quality stack that supports the business’ broadening growth.  You will partner with Eng and PM Directors to prioritize and support all product needs.  You will develop company-defining collaborations with other engineering teams across Instacart.  You will grow and mentor engineers, and contribute to shaping engineering culture not only for Ads but for all of Instacart Engineering.

About the Team - The Ads Engineering team builds E2E, full-stack systems to power Instacart’s industry-leading ads innovations in digital ads’ top growing channel - Retail Media. As a fast-growing, critical piece of Instacart’s overall business, the Ads Engineering team strives to both meet and support our advertiser partners for their needs today, while also challenging the status quo to push forward next-generation technologies.  The team consists of a broad spectrum of engineers across all levels, with expertise ranging from backend infrastructure to data engineering to machine learning to frontend technologies and more.

About the Job 

• Leads, solves, and builds system innovations to solve some of the most challenging and interesting technical problems.  Some examples:
• ads serving and indexing systems with rigorous scaling, availability, and latency constraints, that can scale horizontally to billions of product items,
• infrastructure to rank heterogeneous content with cutting-edge ML models,
• data systems and products that process and move billions of events every day, and that power not just Instacart but hundreds of other retailer partners, and
• workflow orchestration that advances the state of the art in scale, correctness, and developer velocity.
• Establishes Ads’ tech strategy and roadmap, balancing between both short-term needs and long-term sustainability.
• Fosters a thriving engineering culture, including running and improving key engineering processes and providing technical leadership and oversight.
• Grows and mentors engineering talent; identifies and develops the next set of leaders.
• Builds and maintains synergies with other engineering teams across Instacart; acts as a bridge to represent Ads in company-wide engineering forums and activities.
• Contributes to company-level tech initiatives as one of the company’s most senior engineering leaders.
• Note this is a hands-on IC / TL role at the Director+ level.  There are no people management expectations.

About You

Minimum Qualifications

• 10+ years of experience building and leading systems engineering.
• Deep expertise in infrastructure and systems technologies.
• Ability to effectively communicate and collaborate at the most senior engineering levels.
• Proven track record of growing engineering culture and talent.

Preferred Qualifications

• Experience and expertise with data engineering, ML infrastructure, large-scale distributed systems, and/or Ads technologies.
• Experience with scalable, customizable service architectures.
• Familiar with AWS, Golang, Spark, Clickhouse, Snowflake, TensorFlow.

Your impact

At Handshake, we are assembling a diverse team of dynamic engineers who are passionate about creating high-quality, impactful products. As an ML Infrastructure Engineer, you will play a key role in driving the architecture, implementation, and evolution of our rapidly growing Machine Learning platform. Your technical expertise and leadership will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Our primary focus is on building scalable ML infrastructure that empowers our Machine Learning and Relevance teams to iterate quickly and rapidly deploy ML solutions into various surfaces in our product stack.

Your experience

• Strong software engineering foundations:Experience with object-oriented and functional programming languages in production (Python, Golang), software design patterns, testing strategies and dev/ops practices (CI/CD). 
• Cloud platform expertise: Hands-on experience with cloud-based technologies. This includes tools like BigQuery, Cloud Storage, infrastructure-as-code tooling (Terraform) and an ML stack (Vertex, SageMaker, Ray, or similar) for handling machine learning workflows.
• ML aptitude:Experience building product features with ML frameworks like Scikit-Learn, PyTorch, TensorFlow and big data tooling like Spark.
• Problem-solving prowess: Outstanding problem-solving skills, with the ability to navigate complex machine learning infrastructure challenges and propose innovative, effective solutions.
• Teamwork oriented: A collaborative approach to work, coupled with the ability to communicate complex machine learning concepts effectively to both technical and non-technical stakeholders, and take input from Relevance stakeholders to guide implementation details.

Bonus areas of expertise

• ML infrastructure experience: Experience designing, implementing, and managing components of production ML infrastructure including:
  • • Real-time/batch ML model prediction and inference
    • Cluster management and deployment, deployment of GPU based training jobs
    • Familiarity with vector search tooling (Elasticsearch, Pinecone, etc…)
    • Creating or developing Feature Store components (offline/online stores and feature registry technologies)
    • Building ML search or ML recommendations systems
• Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.
• Generative AI (LLMs): Familiarity working with large language models such as ChatGPT, LLaMa, or Bard for text generation and Natural Language Processing (NLP) tasks.
• Streaming data processing: Experience with streaming data processing platforms such as Apache Beam or Apache Flink 

Compensation range

$150,000-$190,000

Overview

About the Role:As a Staff Machine Learning Engineer, you will utilize your extensive technical knowledge to address and solve critical, complex issues in our marketplace systems. You will apply machine learning to create and optimize solutions in impactful areas such as routing optimization, pricing, dispatch and mapping. You will be at the forefront of initiatives, overseeing them from the initial concept stage all the way through to prototyping and implementation, in addition to conducting experiments.

About the Team:The Logistics & ML group is responsible for the intelligence and execution behind Instacart’s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

• Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
• Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
• Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
• Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You

Minimum Qualifications:

• Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience 
• Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• Have strong analytical skills and problem-solving ability
• Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

• Have 6+ years of industry experience using machine learning to solve real-world problems with large datasets
• Knowledge of deep learning frameworks and methodologies
• Experience in applying machine learning and optimization techniques to solve marketplace problems
• Proven track record as a tech lead or team leader, managing and driving forward complex, cross-functional initiatives involving multiple stakeholders

Overview

About the Role 

You will be joining a dynamic team consisting of manual and automation test engineers working on cutting-edge technology. You will be instrumental in building and maintaining automation frameworks across all of our products. You will be Identifying a variety of automation tools and evaluating which brings the most value for our products not only from a software perspective but also from a hardware perspective. You will be a key player in laying down our foundational building blocks to increase our automation coverage and streamline our continuous integration process to achieve quicker release cycles. You will establish best practices and standards throughout our QA department. You will closely collaborate, actively participate, and have a voice on our team to ensure our products are delivered with the highest quality possible.

About the Team 

Caper is one of the critical pillars of Instacart’s new Connected Store technology. Caper offers smart shopping carts powered by deep learning and computer vision to enable a seamless grab-and-go retail experience.

About the Job 

• Spearhead the development of automated functional integration tests and E2E tests across all our products utilizing open-source test frameworks.
• A Hands-on self-motivated engineer capable of working collaboratively in building a continuous integration environment. 
• Perform complex database queries and manipulations for test, staging, etc.
• Perform functional, regression, integration, smoke, E2E, load and performance testing.
• Assist with manual testing as needed.
• Develop trained data, test data, and model validations for machine learning tests.
• Will work closely with engineering, product management, cross-department partner teams within an Agile environment using JIRA as our backbone for collaboration.
• Be a strong voice of reason exercising clear judgment making data-informed decisions in order to improve and maintain the utmost quality within our products.
• Daily “bug hunting” – always on the lookout for defects, usability improvements, cosmetic “eye sores”, etc. and properly track them for resolution.

About You

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent experience.
• 5+ years of working as a SDET/SDE, with 3+ years in a leading role and/or independent contributor.
• Minimum 3-year experience with automation tools such as Appium, Expresso Selenium, Selendroid (or similar for Android app test automation).
• Minimum 3-year experience with IntelliJ, TestNG, and Jenkins.
• Must have built an automation framework from scratch.
• Experience programming with Java,  Python, shell and/or C++.
• Experience interacting with RESTful API and skilled in Rest Assured, Postman (or similar)
• Experience with System Design.
• Experience working with MongoDB and MySQL.
• Solid understanding of GIT.
• Strong analytical skills, self-motivation, attention to detail and leadership ability.

Preferred Qualifications

• Experience automating tests for android applications, Web Applications & Services.
• Experience in establishing and maintaining full CI/CD pipelines.
• Experience with Gitlab.
• Knowledge of basic software engineering practices surrounding coding standards, code reviews, source control management, build process, and test.
• Experience with AI and ML test principles and strategies.
• Exposure to GCP and microservices.
• Familiar with JIRA and TestRail.
• Highly effective communication, both oral and written.

Overview

About the Role - We are seeking a Shopper Product Manager to own the vision and execution of how we give shoppers and customers fair and efficient resolutions when orders do not go to plan. You will own the customer experiences, intelligent systems, and supporting workflows that allow us to act on customer order issues and optimize appeasement and refund spend each year. 

About the Team -The Shopper Team provides high quality, fast, and reliable fulfillment for Customers, creates competitive and reliable earnings opportunities for Shoppers, and enables omni-channel, flexible and efficient fulfillment services for our retail partners. We work closely with engineering, machine learning, operations, design data science, research and cross functional teams across the company, to deliver a growing range of high quality products and solutions. 

About the Job 

• Lead a cross-functional team of engineering, machine learning, data science, operations, design, research, marketing, and more
• Drive product definition, strategy, and long term vision for initiatives across shoppers, customers and retailers
• Identify the biggest problems and drive new feature development from start to finish
• Run user research, usability studies, data-driven experiments to inform product direction
• Work closely with Customer Support org to improve the support experience across our marketplace
• Partner with Engineering, Machine Learning, Design and Data Science teams to build, experiment, iterate and launch product features and optimization models that can strike the right balance between efficiency and user experience in key areas such as chat automation and appeasements
• Consistently integrate behavior data and customer feedback into key product decisions
• Communicate product plans, benefits and results to all audiences - within teams, company, to users, press etc.

About You

Minimum Qualifications

• Proven track record of delivering impactful consumer products, leveraging data and user experience considerations
• Demonstrated ability to solve complex problems involving nuanced tradeoffs by crafting data informed solutions and thinking from first principles
• Experience partnering deeply with partners across different functions such as Operations, Machine Learning and Business Development
• Demonstrated ability to balance short term execution with long term strategy

Preferred Qualifications

• Experience in ecommerce or marketplaces
• Experience partnering with ML, leveraging LLMs
• Experience in building and executing on multi-year strategy

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that’s work worth doing. 

Applied Scientist II

Why We Have This Role

We are looking for talented and innovative Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.

As a Machine Learning Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models in an agile environment to withstand hyper growth and owning quality from end-to-end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

How You’ll Find Success

• Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.
• Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.
• Develop and optimize algorithms for building scalable and efficient GenAI applications.
• Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.
• Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.
• Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.

How You’ll Grow

• Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society.
• Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.
• Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.
• Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.
• Agility to pivot and iterate on GenAI applications based on feedback, emerging trends, and changing business requirements.

Things You’ll Do

• Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business
• Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community
• Work closely with, and incorporate feedback from other specialists, engineers, and product managers
• Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity

What We’re Looking For On Your Resume

• Bachelors in Computer Science or related fields
• Solid understanding of machine learning fundamentals and tool ecosystem
• 2+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
• Deep learning implementation expertise (TensorFlow, PyTorch etc)
• Excellent command of at least one modern programming language (preferably Python)
• Graduate degree in computer science or related fields
• Deep understanding of machine learning model life cycle management
• Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
• Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
• Comfortable working in a fast paced, highly collaborative, dynamic work environment.
• Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks  (e.g. TensorFlow, PyTorch, MXNet etc) 
• Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)

What You Should Know About This Team

The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.

We identify business needs and define strategies where Qualtrics can most benefit from AI technologies. We stay on top of the latest AI technologies and apply the state of the art to customer business problems. We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation. 

Our Team’s Favorite Perks and Benefits

• QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. 
• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. 

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Qualtrics Work Experience - As we look to the future, we believe that our teams are better together. Being together will help us learn more, grow faster and ultimately deliver better results for our customers and Qualtrics. Roles tied to an office location work 4 days per week in the office together and 1 day from home, with a strong spirit of flexibility around taking time for personal, health, and family moments in our work weeks. Our managers work with their teams to create a collaborative, engaged work environment, and arrangement that works for each of our team members.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

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 objectives, we are seeking an Engineering Manager to lead, scale, mentor, and drive our Data Engineering Team. This individual will be responsible for guiding a skilled team of software engineers who are focused on constructing analytical data models, pipelines, and innovative tools. They will collaborate with various teams across the company.

This person will be an integral part of the larger data organization, reporting directly to the Director of Data Engineering based in the US, and they’ll have the opportunity to influence decisions and the direction of our overall data platform, including infrastructure and analytics engineering.

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 the Manager of the Data Engineering team, you will co-own the company-wide data lake and set the vision for data schemas, analytical tooling, and pipelines. Our cutting-edge data lake is the central hub for all data producers and consumers, and your impact will span all of Grammarly.

Data engineers make disparate data centrally available to Grammarly’s team members while ensuring query efficiency and efficacy. Your team will support all of Grammarly’s functions to help us successfully operate three lines of business: individual consumers, enterprise, and Grammarly’’s developer platform. Communication, stakeholder management, and a passion for data will be the backbone of Grammarly’s Data Engineering Manager’s success.

In this role, you will:

• Build a highly specialized engineering team to support the growing needs and complexity of our product and business organizations. 
• Oversee the maintenance and enhancement of our data lake, ensuring it meets the needs of all data producers and consumers.
• Drive the implementation of robust data pipelines to ensure data is accurate, accessible, and up-to-date.
• Foster a collaborative and high-performance culture within the team.
• Set technical vision for the team and ensure the scalability, low cost, low latency, and versatility of our internal analytics platform.
• Provide hands-on guidance in coding, design, and debugging to ensure high-quality technical solutions.
• Build strong relationships with all of Grammarly’s functions to generalize data needs and guide the roadmaps of our internal platforms.
• Work closely with partner teams, including Data Science, ML, and Analytics Engineering, to align priorities and deliver integrated solutions.
• Stay up-to-date with industry trends and best practices in data engineering, fostering a culture of continuous improvement and innovation.
• Cultivate an ownership mindset and culture on your team and across product teams: provide the necessary metrics to help us understand what is working, what is not, and how to fix it.
• Set high performance and quality standards and coach team members to meet them; mentor and grow junior and senior IC talent.

Qualifications

• Has 7+ years of experience in data engineering, with at least 3 years in a leadership or managerial role.
• Fluent in data engineering technologies and languages like SQL, Python, Spark, and data pipeline frameworks.
• Demonstrates ability to lead and mentor a team. Strong project management skills and a track record of delivering complex projects.
• Has excellent analytical and problem-solving skills. Ability to dive deep into technical issues and provide effective solutions.
• Is able to guide the team to build optimal data models and efficiently utilize our data infrastructure.
• Has strong communication and interpersonal skills. Experience working in a collaborative, cross-functional environment, including with remote teams.
• Has the ability and desire to operate in a fast-paced, dynamic environment where things change quickly.
• Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy but is also deeply technical and can dive in to help when necessary.
• 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. 

#LI-AD3

About the Role:

Gusto is seeking a Senior Engineering Leader to drive and execute the cross-functional strategy for our User-Facing Reporting and Analytics team. In this role, you will be responsible for managing user reporting, analytics, and providing users with the data they need in the format they require across the platform.

About the Team:

This team plays a critical role in ensuring the ease of use, efficiency and quality of data, reports rendered to meet customer needs. Their primary focus is on designing, implementing, and maintaining a robust reporting platform.

Here’s what you’ll do day-to-day:

• Lead Gusto’s Reporting engineering team, including the recruitment, hiring, and empowerment of a world-class team
• In this position, you will be responsible for building scalable user facing reports and dashboard platform while  maintaining our data infrastructure, ensuring data quality, integrity, and accuracy
• You will work cross-functionally with engineering, product, design, and stakeholder teams to lead various initiatives to advance our data and reporting solutions
• You will leverage our data to identify key insights and create operational efficiencies, as well as produce accurate and meaningful analysis to drive business decisions
• Build, develop, and maintain data models, automated reports, and dashboards using BI/Dashboarding tools such as PowerBI, ServiceNow, Tableau, and Salesforce
• Meet with stakeholders from business and engineering to understand OKR requirements and convert them into analytical solutions
• Analyze datasets to discover meaningful patterns, trends, and relationships to improve operational and productivity across our organization
• Refine, enhance, and automate processes and reports by managing tables/views and data pipelines
• Responsible for driving the development of product and core platform in a fast paced, start-up environment
• Providing technical leadership in defining the product and platform solutions
• Understand customer pain points, devise solutions, and then iterate through prototyping and frequent, successful product launches.
• Work cross functionally with design leadership and product management leadership to build and drive Gusto’s access and workflow product vision and strategy
• Empowering a team of senior engineers, operating in architects capacity and also engineering people empowerers (managers, creating alignment, clarity, high morale, driving quick but informed decision making, and helping them get unblocked

Here’s what we're looking for:

• 10+ years of software engineering experience
• 5+ years of managing highly distributed engineering teams, and at least 2 years leading other engineering managers 
• 6+ years of experience working with analytical tools and languages such as SQL,PowerBI/Tableau, Suplari, Coupa Analytics or Databricks
• Experience with ELT data modeling and building analytical narratives using data visualizations
• Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or other ML Ops tools
• Experience in scaling engineering organizations with a focus on individual and team development
• Ability to balance business needs, development for multiple product lines, and shipping high quality solutions
• Experience in highly cross-functional environments for highly complex products preferred
• Strong technical acumen with the ability to understand and debate tradeoffs and approaches to building scalable architecture and data models A high standard, systems-first approach, and strong point of view for the user experience informed by customer empathy, research, data, and customer support insights
• Strong product opinions, including the ability to tell a story about where we’re going that is clear and inspiring, and work with teams to map dependencies, risks, and tradeoffs to increase velocity and make the vision real
• Sharp skills as a builder — even as you’ve become a strategic leader, you are fundamentally a builder who can jump into problem solving with team members when they need the support

Our cash compensation amount for this role is targeted at $191,000-$237,000 in Denver, $208,000-$258,000 in most remote locations, and $225,000-$279,000 for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.