RoboForce is seeking a Senior ML Research Engineer to advance robotic manipulation capabilities for their AI robotics company. The role involves designing and deploying algorithms for dexterous manipulation and developing motion planning models. This position requires on-site collaboration in Milpitas, CA.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Why RoboForce
RoboForce is an AI robotics company building Physical AI and Robo-Labor system for dull, dirty, and dangerous work. Our flagship robot, TITAN, is a super humanoid robot designed for industrial environments. We are based in Milpitas, CA and require 5 days/week in-office collaboration.
We are looking for a Senior 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.