---
title: 'Senior Machine Learning Engineer at Strava'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-strava-san-francisco-sna2r0spcyhe'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Machine Learning Engineer at Strava

- **Company:** Strava
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-03
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/strava/5aaf1d74-988b-4edb-911f-671b22990623

## Job description

## ABOUT STRAVA

Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.

Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.

We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale.

This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team.

We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco Office — three days per week.

## WHAT YOU’LL DO:

- Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
- Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
- Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities.
- Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including recommendation systems, activity prediction, and personalized insights.
- Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features

YOU WILL BE SUCCESSFUL HERE BY:

- Driving innovation with Product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate and get buy-in for innovative techniques to improve existing products or explore new features that result in step function changes to how we build AI at Strava.
- Leading as an Owner: Owning your work end-to-end and being accountable for the outcomes in the projects you drive and landing impact for the business. Ensure the end-to-end system delivers as expected through collaboration with partners.
- Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava’s features and measure impact.
- 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.
- Raising the ML standard: Help work towards best practices for model development, deployment, and maintenance.
- Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values

WHAT YOU’LL BRING TO THE TEAM:

- Have worked on numerous machine learning problems and broken them down into incremental tasks.
- Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams.
- 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, and Sagemaker.
- Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, and Snowflake).
- Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, and A/B testing.
- Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, and Go.

For information on benefits, please click here. https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub

WHY JOIN US?

Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.

Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.

When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.

Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.

Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

## About Strava

## Company Overview
- **One-liner**: Strava is an American internet service and mobile app for tracking physical exercise that incorporates social networking features, connecting millions of athletes worldwide.
- **Entity Type**: Private (funded with $151.8M total funding; most recent round likely Series F or equivalent, last major round was Series E in 2017)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2009
- **Founders**: Mark Gainey, Michael Horvath, Davis Kitchel, Chris Donahue, Mark Shaw, and Pelle Sommansson

## Core Business
- Primary industry/industries: Fitness technology, Social networking, Consumer software
- Target customers: B2C (individual athletes — runners, cyclists, hikers) and small B2B (employer wellness programs, fitness brands)
- Mission or purpose: To connect athletes to what motivates them and help them find their personal best

## Products & Services
- **Strava (Free Tier)**: Mobile and web app that uses GPS to track outdoor and indoor activities (running, cycling, hiking, swimming, yoga, and dozens more). Includes social feed, leaderboards, and segment challenges.
- **Strava Subscription (Summit/Paid)**: Premium features such as route planning, advanced analytics, segment leaderboard insights, safety features (Beacon), and training log.
- **Strava API & Platform**: Used by third-party apps (e.g., Garmin, Wahoo) and device makers to integrate workout data; also powers brand challenges and employer wellness integrations.
- **Strava Metro**: Aggregate data product for city planners and transportation departments to improve cycling and pedestrian infrastructure.
- **Recover Athletics (acquired 2022)**: Injury prevention and recovery programming integrated into the app.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (most recently valued at $1.5B+ in earlier rounds per news reports)
- **Key Metric**: Annual Revenue ~$163.5M; Total Funding $151.8M across 9 rounds (including debt financing in 2025)
- **Notable Investors/Partners**: Sequoia Capital, Madrone Partners, Jackson Square Ventures
- **Growth Signals**: +63.3% employee headcount growth YoY (363 to 496 employees); 31 active job postings (+63.2% YoY); billions of activity uploads from global community; growing international presence (23+ countries); acquiring talent from top tech firms (Apple, Google, Meta, Airbnb)

## Competitive Advantages
- **Network Effects**: Massive global community of athletes generates billions of activity uploads; leaderboards, segments, and social features create a powerful engagement loop that new entrants cannot easily replicate.
- **Data Moat**: World’s largest database of athletic activity data (GPS routes, effort metrics, weather conditions); this data is used for route recommendations, safety features, and infrastructure planning.
- **Strong Brand & Community Loyalty**: High NPS and brand recognition among runners, cyclists, and outdoor enthusiasts; the app is synonymous with fitness tracking for millions.
- **Platform Lock-In**: Deep integration with Garmin, Wahoo, Apple Watch, and hundreds of other devices makes switching costs high for athletes.

## Strategic Focus
- **AI/ML Personalization**: Heavy investment in AI (hiring Staff AI Engineer, Senior Engineer for ML/Data Products, Platform Engineer for GenAI/ML) to power smarter route recommendations, personalized training insights, and automated content.
- **Safety & Community**: Growing safety features (Beacon, incident detection) and community moderation to maintain trust.
- **International Expansion**: Opening offices in Dublin, Bristol, Denver, and Hanover; hiring regional account managers for APAC and LATAM.
- **B2B & Monetization**: Growing employer wellness partnerships and brand challenge sponsorships to diversify revenue beyond consumer subscriptions.
- **Platform Ecosystem**: Strengthening the developer platform and data partnerships (Strava Metro, third-party integrations).

## Why Work Here
- **Hybrid Work Model**: Employees work from physical offices (San Francisco HQ, Bristol, Denver, Dublin, Hanover) with a hybrid schedule (typical time onsite varies by role).
- **Career Growth**: Provides customized development tracks; many roles offer hands-on impact with a 500-person company that has scale (billions of data points) and startup energy.
- **Compensation**: Competitive salaries (Sr. SWE ~$188K avg, PM ~$142K avg), equity, and comprehensive benefits including dental, health, FSA, mobile phone discount, pet-friendly office, and free snacks/drinks.
- **Diversity & Inclusion**: Offers Employee Resource Groups and is actively hiring diverse talent (explicitly states commitment in career page).
- **Work-Life Balance**: Glassdoor rating of 3.7/5 (Work-Life 3.8, Culture 3.5); the company mission aligns with an active lifestyle (employees encouraged to use the product).
- **Team & Talent**: Strong engineering culture with many hires from Apple, Google, Meta, Airbnb; alumni network includes top tech companies.
- **Internship Program**: 12-week summer internship for software engineering (mentioned in recent posts).

## Sources
1. [strava.com](https://www.strava.com/about)
2. [strava.com](https://www.strava.com/careers)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/Strava)
4. [builtin.com](https://builtin.com/company/strava)
5. [linkedin.com](https://www.linkedin.com/company/strava-inc.)

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