Requirements

• Master’s degree in Machine Learning, Robotics, or related field with 4+ years of experience or a PhD degree.
• Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
• Expertise in imitation learning, reinforcement learning, tactile sensing and robotics learning.
• Proficiency with one or more physical simulators (e.g., MuJoCo, IsaacSim, Drake, PyBullet, PhysX) and experience working in a deployed robotics environment.
• Proficiency in Python, and deep learning frameworks (e.g., PyTorch, JAX).
• Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

• Expertise in large foundation models (VLM, VLA, etc).
• Strong publication on top conferences in robotics manipulation.
• Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.
• Proven ability to design scalable experimentation and data pipelines.
• Familiarity with 3D computer vision and/or graphics pipelines

Benefits

• Competitive stock options/equity programs.
• Health, dental, and vision insurance, 401(k) plan.
• Visa sponsorship and green card support for qualified candidates.
• Lunches and dinners, a fully stocked kitchen, and regular team-building events.