Senior/Staff ML Research Engineer, Manipulation
Why RoboForce
RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are looking for a Senior/Staff ML Research Engineer, Manipulation to advance robotic manipulation capabilities, enabling dynamic and physically interactive tasks. You will design and deploy algorithms for dexterous manipulation tasks and deploy for real-world applications.
Responsibilities
- Design and deploy algorithms for dexterous manipulation tasks.
- 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.
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.