Autonomy Engineer - VLA Pre-training

📋 Description

• Post-train policies via behavior cloning and RL; own the full loop from data to deployment.
• Partner with the Data Collection team to drive collecting new data: specify what good data looks
• Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.
• Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.
• Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply
• Work with MLOps & Data Platform teams to scale distributed training and optimize models for

🎯 Requirements

• 3+ years building deep‑learning systems (industry or research) with shipped models or published
• Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models —
• Experience with deep learning infrastructure: streaming datasets, checkpointing & state
• Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
• Familiarity with modern software engineering practices.
• You document experiments clearly and communicate trade‑offs crisply.

🎁 Benefits

• Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and
• Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid
• 401(k) retirement plan with employer match.
• Equity included–we believe builders should share in what they build.
• Free daily catered lunch, snacks, and drinks in‑office.
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.