Forward Deployed Researcher (Robot Learning)
Core
Train and deploy modern neural robotic policies for real customer tasks in factories, hospitals, kitchens, fields, and homes.
Role type
Early-career research engineer (robot learning)
Builds
Neural robotic policies, data/training/evaluation/deployment pipelines, and systems operating reliably outside the lab
Domain
Robotics, embodied AI, machine learning
Deliverable
production ML models
Required skills
Neural network policy training, imitation learning, reinforcement learning, vision-language-action models, Python, PyTorch/JAX, robotics simulation, experimental design, hardware-software integration
Preferred skills
Manipulation/dexterous control, whole-body policies, Isaac Sim/MuJoCo/ManiSkill, diffusion policies, transformers, multimodal models, robot data curation
Technologies
PyTorch, JAX, Isaac Sim, MuJoCo, ManiSkill
Responsibilities
Train neural policies for manipulation and embodied tasks; build data and deployment pipelines; run simulation experiments and transfer to real robots; collect demonstrations and diagnose failures; evaluate model robustness and latency; adapt policies to customer environments; turn research ideas into reliable systems
Seniority
Early-career, hands-on IC
