Applied Intuition
Physical AI
EngineerManagerMLDataandEvaluation,SelfDrivingSystems
“Engineer Manager - ML Data and Evaluation, Self-Driving Systems at Applied Intuition. Skills: ML Data, Evaluation, Self-Driving Systems, Data pipelines. Own data enrichment. Build curation and corpus management systems”
What You'll Achieve.
Ensure enrichment quality keeps pace with model requirements; Close the sim-to-real gap; Measure and improve evaluation system
Industry & Context.
What They're Looking For.
Must Have
5+ years building ML or data systems for robotics or production software systems, 2+ years managing or technically leading engineering teams, Experience with large-scale data pipelines: ingestion, curation, and processing of large-scale multi-modal sensor data, Experience reasoning about dataset composition, distribution balance, and corpus-level quality - making data decisions that measurably improved model performance, software engineering in comfort with C++ and distributed systems
Nice to Have
Shipped perception, prediction, or planning models to production vehicles, Experience with state-of-the-art simulation for ML eval (e. g. neural rendering and simulation), Labeling and auto-labeling pipelines: automated pre-labeling, quality verification, human-in-the-loop workflows, RL and reward engineering for autonomous driving or robotics
What You'll Do.
Build curation and corpus management systems
Own evaluation from offboard metrics to on-road driving quality
and technically lead the team
Build a culture of rigor
How You'll Work.
Team & Collaboration
Work with product team
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