Staff ML Engineer at Grindr developing scalable ML systems and enhancing user connections with emerging AI tools. Collaborating cross-functionally to drive innovation in the LGBTQ+ community.
Responsibilities
Architect scalable 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.
Collaborate cross-functionally with engineering, data science and product teams to turn bold ideas into tangible results.
Drive the exploration of emerging AI tools and techniques to keep Grindr’s tech stack ahead of the curve.
Requirements
7+ years of experience building ML systems with a focus on 0-to-1 system development 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.
Benefits
Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents.
Family Formation Up to $200,000 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
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