Sr. Software Engineer, Machine Learning Infrastructure

Tinder is a leading dating app that revolutionized how people meet, serving approximately 50 million users per month. They are seeking a Senior Machine Learning Infra Engineer to build foundational ML infrastructure, including feature store and efficient serving platforms, while partnering closely with ML teams to enhance overall organizational velocity and impact.

Responsibilities:

• Build and evolve robust, scalable ML infrastructure that supports ML engineers across all Tinder business domains
• Set and drive the long-term technical direction for Tinder’s ML infrastructure
• Design, build, and operate production-grade ML serving infrastructure for ML models using Ray Serve and Triton
• Develop and maintain robust serving infrastructure specialized for serving large language models (LLMs) in-house
• Develop efficient ML serving platform using Ray Serve and Triton
• Build the foundation of Tinder’s feature store using Databricks and internal tooling
• Own infrastructure projects end to end—from design and implementation to adoption and measurable impact
• Partner closely with ML Engineers, ML Software Engineers, and CloudOps to ensure infrastructure directly enables better models and faster iteration
• Establish and propagate best practices in ML infrastructure, data engineering, and model serving
• Mentor and support junior engineers, raising the technical bar across the team