Software Engineer, Data Flywheel Platform

Job Description

Build and scale the data curation and enrichment pipelines that transform world-scale fleet data into high-signal training data for foundation models. Develop the evaluation infrastructure and training/serving systems to support the company's AI data flywheel.

Requirements: Requires strong production software engineering experience in Python and distributed systems, with a track record of shipping high-throughput data or ML systems. Candidates should have roughly 6 or more years of experience and strong computer science fundamentals.

Key Skills: Python, Distributed Systems, Data Pipelines, System Design, SQL, Ray, Spark, Kubernetes, MLOps, Vector Search, Data Curation, Distributed Training, API Development, Workflow Orchestration, Lakehouse Architecture, Performance Optimization