Data Scientist II, ML Infrastructure

Job Description

Advance the science of ML measurement, feature understanding, and causal inference at scale. Design and build centralized ML platform tooling and production pipelines to improve model quality and platform efficiency.

Requirements: Requires 2+ years of experience as an applied scientist or ML engineer with strong Python and PyTorch skills. A Bachelor's or Master's degree in Computer Science or a related field is required.

Key Skills: Python, PyTorch, Ray, Spark, Causal Inference, Airflow, WandB, ML Infrastructure, Distributed Compute, Software Development, Version Control, ML Pipelines

Benefits: Equity