Founding ML Engineer
On-site · Menlo Park, California, United States
Job Summary
Founding ML Engineer at Gradient Robotics to train and deploy vision-language-action models and other robotic-learning systems across the full learning pipeline—from data collection and curation to pre-training, fine-tuning, RL-based self-improvement on real hardware, and deployment. You’ll work on distilling policies from sim to real, assess data quality, debug training failures, and own the full cycle: data → training → evaluation → deployment → autonomous improvement. Requirements include PyTorch or JAX, distributed training, imitation learning, diffusion policies, VLA architectures, reinforcement learning, and experience with MuJoCo/Isaac Sim/Genesis; Python proficiency; nice-to-have publications and experience deploying policies on robots.
Required Qualifications
- Strong background in deep learning and robot learning
- Experience with PyTorch or JAX and distributed training
- Experience with imitation learning, diffusion policies, VLA architectures, and reinforcement learning
- Proficiency in Python and production-grade code
- Experience with simulation tools like MuJoCo, Isaac Sim, or Genesis
- Experience deploying learned policies on physical robots (bonus)
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