We’re a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Perception ML Data Engineer, you’ll bridge machine learning innovation and autonomy infrastructure to ensure our models learn from the most relevant, diverse, and high-quality data. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely.

Leverage VLMs to curate geographically diverse datasets matching real-world driving distributions

Develop high fidelity synthetic data frameworks across sensor modalities

Optimize ML-powered validation of data quality and model readiness

Architect hybrid systems combining deep learning and classical algorithms for scalable data curation and annotation.

Design frameworks to quantify synthetic data’s real-world fidelity and improve synthetic data rendering quality.

Build tools that automatically surface data gaps impacting perception model performance.

Collaborate with autonomy engineers to turn raw sensor streams into targeted training priorities – addressing critical gaps that limit perception and autonomy performance