Senior ML Engineer, Manipulation

We are looking for a Senior ML Engineer to advance robotic manipulation capabilities, enabling dynamic and physically interactive tasks. You will develop algorithms for grasping, motion planning, and tactile learning in real-world environments.

Responsibilities:

• Design and deploy manipulation algorithms for high-DOF robotic tasks (e.g., grasping, connecting, picking, placing, etc).
• Develop motion planning algorithms for dynamic environments.
• Deploy models as production-ready solutions on RoboForce robots.
• Collaborate with Robotics team and Simulation team to develop contact reach robot learning stacks.

Qualifications:

• Master’s degree in Machine Learning, Robotics, or related field with 4+ years of experience.
• Proficiency in C++ and Python, and deep learning frameworks (e.g., PyTorch, JAX).
• Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
• Expertise in imitation learning, tactile sensing, and robotics learning.
• Requires 5 days/week in-office collaboration with the teams.

Preferred Skills:

• PhD degree and/or publication on top conferences.
• Strong publication record in robotic manipulation and GPU programming with CUDA.
• Proven ability to design scalable experimentation and data pipelines.
• Familiarity with 3D computer vision and/or graphics pipelines
• Experience with Large Language Model.