RoboForce
AI Resident
Milpitas, CA · Full-time
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About the role
- The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
- What makes this program different is the direct connection between research and real-world deployment.
Responsibilities
- Conduct research and build systems for embodied physical intelligence
- Develop and evaluate methods in VLA, World Models, World Action Models, simulation, and RL
- Design and run experiments on robotics tasks involving perception, planning, control, and long-horizon behavior
- Access to large-scale GPU clusters and production-grade infrastructure, with dedicated support to enable fast, uninterrupted experimentation on ambitious robotics and AI workloads
Requirements
- Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow
Nice to have
- Rich hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics
- Experience training, fine-tuning, or evaluating multimodal or embodied models
- Experience working with real robot hardware, data collection systems, evaluation workflows, or deployment pipelines
- Demonstrated technical initiative through research, open-source contributions, or high-impact engineering work
- Compensation and Resources
- 3-6 months, full-time
Compensation
- $10,000 monthly salary
Benefits
- Premium fitness center membership covered by the company
- Build training and evaluation pipelines for large-scale embodied learning systems
- Vision-Language-Action (VLA) models for general-purpose robotic behavior
- Reinforcement learning, imitation learning, and policy optimization for embodied agents
- Multimodal learning across vision, language, proprioception, force, and action
- Learning systems for manipulation and real-world embodied interaction
This listing is sourced directly from RoboForce's careers page and normalized into a canonical job model.