Hiring: Senior, ML Engineer - Auto Tagging Company: Torc Robotics Location: Ann Arbor, MI Job Posted Time: 2026-09-10 10:25:48 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, Data Pipeline, Databricks, GCP, Machine Learning, Parquet, Python, SQL, Spark, vLLM About the job Experience: •6+ years in data engineering, ML systems, or autonomous data curation. Required Skills: •Scenario Mining at Scale: Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events. •Advanced Event Tagging: Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios. •Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity. •Data Flywheel Integration: Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation. •Cross-Functional Alignment: Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop. •Mentorship & Team Growth: Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving. •BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation. •Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets. Compensation: •$177,300 - $212,800 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!