Staff Machine Learning Engineer, Grindr

• 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 MLframeworks
• 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

Desirable

• We’re doubling down on ML as the future of Grindr, and in these early days, your work will leave 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 joining a focused team surrounded by high-impact, greenfield work", setting the stage for our long term ML strategy
• Recommendations That Reshape: Build systems 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 help users find their spark with precision and flair
• 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