Senior Machine Learning Platform Engineer jobs in United States
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Strava · 1 month ago

Senior Machine Learning Platform Engineer

Strava is the app for active people, aiming to motivate individuals to live their best active lives. They are seeking a Senior Machine Learning Platform Engineer to join their AI and Machine Learning team, responsible for developing machine learning models and systems that enhance user experience through personalization and recommendations.

AppsFitnessInternetMobileSocial NetworkSports
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Own End to End Systems: Drive key projects to power AI/ML at Strava end-to-end from gathering stakeholders requirements to ground up developer to driving adoption and optimizing the experience
Interact with a Rich and Large Dataset: Explore and help leverage Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features
Contribute to a Well Loved Consumer Product: Work at the intersection of AI and fitness to help launch and maintain product experiences that will be used by tens of millions of active people worldwide
Holding empathy and perspective: Work closely with engineers and data scientists to understand the opportunities to help them succeed; they will be your customers!
Leading as an owner: Owning your work end-to-end and being accountable for the outcomes in the projects you lead, influencing the ML team, partner teams, and landing impact for the business. Ensure the end-to-end system delivers as expected through collaboration with partners
Collaborating in and across teams: Build relationships, advocate and communicate with cross-functional partners and product verticals to identify opportunities and bring your technical vision to life
Driving innovation with product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate, and gain buy-in for innovative techniques to enhance our existing platform, resulting in step-function changes to how we build AI at Strava
Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values

Qualification

MLOps toolsProduction ML excellenceGenerative AI technologiesCloud environmentsData pipelinesExploratory data analysisInterpersonal skillsCommunication skillsCollaborationTechnical leadership

Required

Have worked on complex, ambiguous platform challenges and broken them down into manageable tasks with both strategies and tactical execution
Demonstrated technical leadership in leading projects and the ability to mentor and grow early-career team members
Have demonstrated strong interpersonal and communication skills, and a collaborative approach to drive business impact across teams
Have worked with a variety of MLOps tools that fulfill different ML needs (like FastAPI, LitServe, Metaflow, MLflow, Kubeflow, Feast)
Are experienced in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing
Experience with generative AI technologies around LLM evaluation, vector stores, and agent frameworks
Have built backend production tools and services on cloud environments like (but not limited to) AWS, using languages Python, Terraform, and other similar technologies
Have built and worked on data pipelines using large scale data technologies (like Spark, SQL, Snowflake)
Have experience building, shipping, and supporting ML models in production at scale
Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker

Company

Strava is a social fitness app that tracks running, cycling, and workouts, connecting athletes.

H1B Sponsorship

Strava has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (5)
2023 (4)
2022 (6)
2021 (12)
2020 (1)

Funding

Current Stage
Late Stage
Total Funding
$151.85M
Key Investors
Sequoia CapitalJackson Square VenturesMadrone Capital Partners
2025-05-22Series Unknown
2025-05-22Debt Financing
2020-11-17Series F· $110M

Leadership Team

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Michael Martin
CEO & Board Member
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Rob Terrell
Chief Technology Officer
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Company data provided by crunchbase