Platform Engineer, GenAI/ML

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Platform Engineer, GenAI/ML Strava SF, San Francisco, California, United States About Strava Strava is the app for active people. With over 180 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 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. About This Role We are looking for a GenAI/ML Platform Engineer to join the growing AI team at Strava. This team leverages machine learning, generative AI, and search to bring value to Strava athletes including personalization, recommendations, and trust and safety. This includes the underlying platform that enables our team to build sophisticated models and use large language models. This is an important role on the team to develop, expand, and champion the platform. That allows us to build AI/Ml powered features of higher quality with less friction. it ensures these features can be served at our scale reliably and performantly. Ultimately, you won't just help with ongoing development needs, but also play a part in unlocking technological capabilities for the future. 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

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