7+ years of experience in building ML systems, particularly from scratch.
Proven ability to deliver scalable solutions, proficient in Python and ML frameworks.
Scrappy mindset for tackling complex challenges and delivering results.
Experience with deployment technologies like Snowflake, Airflow, and Kubernetes.
Familiarity with machine learning frameworks such as PyTorch, Tensorflow, or Keras.
Experience with public cloud environments like AWS, GCP, or Databricks.
Responsibilities
Architect scalable recommendation systems for millions of users.
Leverage LLMs to enhance user engagement through conversation data.
Prototype and deliver production-ready ML solutions that address real user issues.
Collaborate cross-functionally with teams to realize innovative ideas.
Explore emerging AI tools to keep tech solutions ahead of competitors.
Benefits
Full premium coverage for health, dental, and vision insurance for employees, with partial coverage for dependents.
Up to $200,000 in family formation support including IVF and adoption.
401(k) plan with a 6% company match and immediate vesting.
Competitive salary, company bonuses, and equity options for every employee.
Leading gender-affirming care with significant coverage and additional health resources.
Flexible vacation policy and two company-wide rest weeks per year.
Monthly stipends for cell phone, internet, wellness, food, and commuting, plus complimentary meals.
Full Job Description
About the Team:
This is a hybrid role based in our San Francisco or Palo Alto offices (Palo Alto preferred) and will require you to be in the office on Tuesdays and Thursdays.
About the Job:
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.
Role 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.
You May Thrive in this Role if You:
Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks.
A track record of crafting recommendation systems 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 taking product ownership and thoughtfully addressing the unique needs of a specific user group, 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 $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
About Grindr
Grindr is a location-based social networking and online dating application for gay, bi, trans, and queer people. The app was one of the first geosocial dating apps and was launched in 2009. Grindr is available in over 190 countries and has over 27 million users. The app is owned by San Vicente Acquisition LLC, a company based in West Hollywood, California. Grindr has faced criticism for its handling of user data and for facilitating the spread of sexually transmitted infections.
