🛠 Tech Stack

💼 About This Role

You'll join a new Robot Learning team as a founding member to build the team's robot-learning stack from the ground up for whole-body loco-manipulation in heavy manufacturing. You'll design training infrastructure, data pipelines, simulation environments, model architectures, and deployment workflows. This role offers the chance to shape a research stack combining visual reasoning, learned action policies, and RL fine-tuning from real customer data.

🎯 What You'll Do

• Build the robot-learning stack from the ground up
• Stand up ML infrastructure including training pipelines and experiment tracking
• Train policies across manipulation, locomotion, and whole-body control
• Deploy policies via phased rollout strategy on real robot hardware

📋 Requirements

• PhD or Master's in Robotics, CS, or related field or equivalent experience
• 2+ years hands-on robot learning experience deploying policies on real hardware
• Experience with diffusion-based or flow-matching action policies and action chunking
• Strong Python and PyTorch skills with production-level ML infrastructure experience

✨ Nice to Have

• Edge inference on edge-class hardware (TensorRT, ONNX, FP16/INT8 quantization)
• Visual self-supervised representation learning on robot or 3D-vision tasks
• Legged-robot or whole-body control experience

🎁 Benefits & Perks

• 🍽️ Daily free lunch
• 🏖️ Flexible PTO
• 🏥 Comprehensive medical, dental, vision
• 👶 6 weeks paid parental leave plus additional 6-8 weeks for birthing parents
• 💰 401(k) retirement plan through Empower

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screening· 30 min
2. 2Technical Phone Interview· 60 min
3. 3On-site Technical Interviews· 3 hours