Research Intern - Reinforcement Learning, Robotics
Research intern role focused on reinforcement learning for robotics, particularly dexterous manipulation. Requires current PhD/MSc studies in ML, CV, or robotics.
About the job
Responsibilities
- Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics, with emphasis on dexterous manipulation
- Dive into fundamental and relevant topics on RL with broader applications
- Work closely with Research Scientists and Engineers on high quality research publications for submission to top-tier conferences
Requirements
- Strong research background and skills on relevant topics, with ability to work both independently and collaboratively on projects
- Current PhD (or MSc) studies in machine learning, computer vision and graphics, or robotics
- Passion for next-generation, scalable autonomy and robotics
Nice-to-Haves
- Interest in deploying research into autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots, and dexterous hands
Skills
Reinforcement Learning, Machine Learning, Computer Vision, Robotics, Dexterous Manipulation, Vla Post-Training, Closed-Loop Rl
Similar jobs
ML Engineering jobs
DataVisor
Mountain View, CA
Builds high-scale data pipelines, distributed systems, and AI agent workflows using LLMs for fraud intelligence platform. Requires 2+ years software engineering, Python proficiency, big data tools, AWS/K8s, and ML foundations.
Coinbase
San Francisco, CA
Machine learning intern pursuing a Ph.D. who will build and deploy production-scale models and pipelines, conduct an end-to-end research project, and collaborate with engineering and product teams on blockchain and cryptocurrency applications.
Fireworks AI
San Mateo, CABuild, deploy, and optimize AI applications and machine learning models for customer use cases while contributing to an internal ML platform. This new graduate role requires a technical master’s degree, hands-on ML or LLM experience, and strong customer communication skills.
PathAI
Boston, MADevelop and deploy machine learning models for biomedical research and AI product development, collaborating with scientific, engineering, and product teams. Requires a master's degree with 2–4 years of experience or a PhD with 0–2 years, plus strong Python and ML development skills.
Earnin
Mountain View, CA
Machine learning engineer who trains, evaluates, and productionizes models and LLM-powered applications for financial products. Requires 2+ years of ML systems experience, strong Python and PyTorch skills, production data pipelines, model evaluation, and API development.