Staff Machine Learning Engineer

Join Grindr, the world's largest social networking app for the LGBTQ+ community, as a Staff Machine Learning Engineer. In this role, you will have a significant impact on the future of the platform by building scalable recommendation systems, leveraging the latest LLMs, and collaborating cross-functionally with engineering, data science, and product teams. You will also have access to a range of benefits, including 100% employer-paid medical, dental, and vision premiums, 401k matching, flexible PTO, and equity for all employees.

Missions

• Architect scalable recommendation systems to serve millions, balancing performance and innovation.
• Prototype, iterate, and ship production-ready ML solutions that solve real problems for our users.
• Collaborate cross-functionally with engineering, data science, and product teams to turn bold ideas into tangible results.

Profil recherché

- Proven ability to deliver at scale, with fluency in Python and popular MLframeworks

- A scrappy mindset-you tackle messy challenges head-on and get real results

- Experience building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras

- Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark)

- 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

- 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