Job description

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 senior technical leader shaping the vision . 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, you’ll drive strategy and execution that leaves 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 charting the roadmap and building foundational systems surrounded by high-impact, greenfield work, setting the stage for our long term ML strategy. - Recommendations That Reshape: Architect and scale recommendation platforms 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 define best practices for conversational AI at Grindr, helping 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 room to live full lives. This is a hybrid role based in our Palo Alto or San Francisco offices and will require you to be in office Tuesdays and Thursdays. About the Job: - Architect and oversee large-scale recommendation systems to serve millions, balancing performance and innovation. - Leverage the latest LLMs to process vast conversation data and enhance user connections. - Prototype, iterate, and ship production-ready ML solutions that solve real problems for our user. - Provide technical leadership across teams, collaborating with engineering, data science and product teams to turn bold ideas into tangible results. - Evaluate, influence, and integrate emerging AI tools and techniques at an organizational level to keep Grindr’s tech stack ahead of the curve. Role Requirements: - 10+ years of experience building ML systems with a focus on 0-to-1 system development, platform-scale architecture, and creating new capabilities from scratch. Experience with recommendation systems or similar is a plus. - Proven ability to deliver at scale, with fluency in Python and popular ML frameworks. - A scrappy mindset—you tackle messy challenges head-on and get real results. - Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark) - Experience building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras. - Experience with any public cloud environment - AWS, GCP or Databricks. You May Thrive in this Role if You: - Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks. - A track record of leading the development of recommendation platforms that hit the mark for diverse user needs. - Thrives in a fast-paced, outcome-driven environment with lots of cross-functional collaboration. - A proven history of setting technical direction, driving adoption of ML systems across organizations, and owning products end-to-end from early-stage concept to full-scale rollout. Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption. - Retirement: 401(k) with 6% match and immediate vesting. - Compensation: Industry-competitive compensation, company bonus, and equity for every employee. - Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. - Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year. - Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy grindr.com.

Requirements

Must-haves

Early-Stage Impact: It's still early days for ML at Grindr, so you'll be charting the roadmap and building foundational systems surrounded by high-impact, greenfield work, setting the stage for our long term ML strategy.
Recommendations That Reshape: Architect and scale recommendation platforms 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 define best practices for conversational AI at Grindr, helping users find their spark with precision and flair.
This is a hybrid role based in our Palo Alto or San Francisco offices and will require you to be in office Tuesdays and Thursdays.
Architect and oversee large-scale recommendation systems to serve millions, balancing performance and innovation.
Leverage the latest LLMs to process vast conversation data and enhance user connections.
Prototype, iterate, and ship production-ready ML solutions that solve real problems for our user.
Provide technical leadership across teams, collaborating with engineering, data science and product teams to turn bold ideas into tangible results.
Evaluate, influence, and integrate emerging AI tools and techniques at an organizational level to keep Grindr’s tech stack ahead of the curve.
Proven ability to deliver at scale, with fluency in Python and popular ML frameworks.
A scrappy mindset—you tackle messy challenges head-on and get real results.
Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark)
Experience building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras.
Experience with any public cloud environment - AWS, GCP or Databricks.
You May Thrive in this Role if You:
Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks.
A track record of leading the development of recommendation platforms that hit the mark for diverse user needs.
Thrives in a fast-paced, outcome-driven environment with lots of cross-functional collaboration.
A proven history of setting technical direction, driving adoption of ML systems across organizations, and owning products end-to-end from early-stage concept to full-scale rollout.

Nice-to-haves

10+ years of experience building ML systems with a focus on 0-to-1 system development, platform-scale architecture, and creating new capabilities from scratch. Experience with recommendation systems or similar is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonkubernetesdockerawsgcpllmrestgo

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness