Senior ML Research Engineer, Manipulation

We are looking for a Senior Research 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 models for dynamic environments.
• Deploy models as production-ready solutions on RoboForce robots.
• Create and enhance contact-rich robot learning stacks through physics-based simulation.

Qualifications:

• Master’s degree in Machine Learning, Robotics, or related field with 4+ years of experience or a PhD degree.
• Proficiency in 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, 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.
• Requires 5 days/week in-office collaboration with the teams.

Preferred Skills:

• 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
• Experience with Large Language Model.
• Expertise in C++ programming.