Principal ML Engineer at Grindr

Candidates should have 10+ years of experience building ML systems with a focus on 0-to-1 system development, platform-scale architecture, and creating new capabilities from scratch, with fluency in Python and popular ML frameworks. Experience using data and deployment technologies such as Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark, building machine/deep learning models with PyTorch, Tensorflow, or Keras, and experience with any public cloud environment (AWS, GCP, or Databricks) are required. Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks, a track record of leading the development of recommendation platforms, and a proven history of setting technical direction, driving adoption of ML systems, and owning products end-to-end are highly desirable.