Senior Staff ML Engineer
$300kGrindr
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.
- 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.
- 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.
- 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.
- 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
Vacancy posted 5 days ago
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