Staff ML Engineer
Grindr Inc - Palo Alto, California, United States, San Francisco
Posted Apr 8, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Staff ML Engineer Palo Alto, California, United States, San Francisco About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. At Grindr, we're at the dawn of an AI-driven evolution, and you'll be a key player helping to shape it. This is your chance to harness cutting-edge machine learning to redefine how millions of people in the LGBTQ+ community around the world connect -whether it's an entertaining chat, a casual encounter or long-term relationship. We're doubling down on ML as the future of Grindr, and in these early days, your work will leave a mark on a one-of-a-kind platform at global scale. - Early-Stage Impact: It's still early days for ML at Grindr, so you'll be joining a focused team surrounded by high-impact, greenfield work, setting the stage for our long term ML strategy. - Recommendations That Reshape: Build systems that match millions to their next big moment, adapting to a range of intents with impact you can feel. - Conversations That Connect: Use LLMs to uncover insights, and help users find their spark with precision and flair. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It's about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with
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