Senior Software Engineer, Perception ML Data

Job description

About the Role

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.

Design and advance systems that:

• 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

Tailor Your Impact:

• High-Output Generalist: Work across autonomy, infrastructure, databases, simulation, and ML development, gaining domain knowledge in Robotics and ML.
• Robotics Expert: Build state of the art solutions for data discovery, auto-labeling, and synthetic generation/reconstruction in close collaboration with Infrastructure and Autonomy.

About the work

You’ll solve autonomy’s hardest data challenges through applied ML and systems rigor:

• 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
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