AI Resident at RoboForce in Milpitas, CA

Summary: RoboForce is an AI robotics company focused on developing Physical AI-powered robots for demanding industrial environments. The AI Residency Program offers early-career researchers and engineers the opportunity to work on core challenges in robotics and AI, including embodied intelligence and reinforcement learning, with a direct connection to 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 - Build training and evaluation pipelines for large-scale embodied learning systems - Work closely with research and engineering teams to move ideas from prototype to real or simulated robot platforms - Explore how multimodal foundation models can improve robot capability in real deployment settings - Contribute to technical reports, internal research discussions, and, where appropriate, publications Required Qualifications: - Master's, or PhD student, recent graduate, or early-career researcher/engineer in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field - Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow - Experience using AI-assisted coding tools and agentic development workflows to prototype, iterate, and build quickly - Ability to implement, debug, and evaluate research ideas in a fast-moving environment - Strong engineering judgment, including the ability to validate, refine, and productionize AI-assisted code Preferred Qualifications: - Rich hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics - Experience training, fine-tuning, or evaluating multimodal or embodied models - Experience with World Models, action-conditioned prediction, model-based learning, planning, or control - Strong hands-on experience with simulation platforms such as Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, Habitat, or similar systems - Experience with reinforcement learning, imitation learning, or post-training for robotic policies - 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 Required Skills: Machine learning frameworks, PyTorch, JAX, TensorFlow, AI-assisted coding tools, Robotic manipulation, Mobile manipulation, Industrial robotics, Multimodal models, Embodied models, World Models, Action-conditioned prediction, Model-based learning, Control, Simulation platforms, Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, Habitat, Reinforcement learning, Imitation learning, Robotic policy training, Robot hardware, Data collection systems, Evaluation workflows, Deployment pipelines, Engineering judgment, Technical initiative, Planning Benefits: Company-provided lunch and dinner, a fully stocked kitchen, and team events, Premium fitness center membership covered by the company