Senior ML Engineer, Manipulation

Job overview:

We are seeking a highly skilled and experienced Senior Software to join our innovative AI robotics company, taking our AI capability to the next level. In this role, you will develop the core AI capabilities that enable RoboForce robot to work at dynamic and general environment with physical contact. You will work closely with AI Robotics expertise to build the robust onboard and offboard foundations for next-gen robot.

Why it’s interesting:

RoboForce, an AI-Robotics company, is building a first-of-its-kind Robotic Workforce System to take on the most tedious, force-demanding, and dangerous work humans don't have to do.

At RoboForce, we're building a small team with a flat org structure and extreme talent density. Currently, we have top tech leaders from CMU Robotics, Michigan Robotics, Amazon Robotics, Tesla Robotics, Google, Waymo, Apple, and Microsoft. RoboForce is backed by world-class investors, including the Nobel Prize Laureate, Carnegie Mellon University, and beyond.

Responsibilities:

• Design, implement, test, and deploy manipulation algorithms for RoboForce robots with high degrees of freedom, including tasks such as grasping, picking, placing, twisting and connecting.
• Design, implement, test, and deploy motion planning algorithm for RoboForce robots locomotion with dynamic environment with limited prior information.
• Deploy the model on RoboForce robots as a product.

Minimum Qualifications:

• Master’s degree in Machine Learning, AI, Robotics, Computer Science, or a related technical field and 8+ years of industry experience in AI/Robotics domain.
• Expert programming skills on C++ and Python.
• Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
• Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or similar.
• Experience in deep imitation learning or reinforcement learning in realistic applications.
• Experience in robotics learning through tactile, force-torque and/or vision-based sensors.
• Ready for high pace at fast-growing startup.

Preferred Qualifications:

• PhD in Machine Learning, AI, Robotics, Computer Science, or a related technical field with at least 3 years experience.
• Demonstrated ability to design and implement ML experimentation and data pipelines with high-quality code that enables fast iteration cycles.
• Experience with neural network deployment tool chains and techniques, including TensorRT and model quantization.
• A strong publication record demonstrating expertise in developing and deploying perception solutions.
• Experience with GPU programming with CUDA