Senior AI Research Scientist

Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time. Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With $20mil+ in funding, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics. Position Overview: As an AI Researcher at Dyna Robotics, you will research and develop cutting edge AI models for dexterous robotic manipulation, which is the key for unlocking both short-term GTM applications as well as the long-term vision of general-purpose robots. You will collaborate closely with the AI team as well as the General Software Team to rapidly iterate on novel algorithms and large-scale model training to deliver the most general and adaptive robotic manipulation models possible. This role is crucial for ensuring the company’s short-term deliverables and long-term competitive advantage. Key Duties Research and develop new AI models for robotic manipulation Design, implement, and evaluate new robot learning algorithms on physical robots Collaborate with cross-functional teams to enhance robotic manipulation capabilities Produce and deliver dependable, high-quality robotic software solutions Qualifications Master degree or above in Computer Science, Robotics, or related discipline, or comparable hands-on experience Minimum 3 years' experience in AI and robotics research Comprehensive understanding of robot learning methodologies (e.g., reinforcement learning, imitation learning) Familiarity with various robot data collection techniques Practical experience deploying AI models on physical robots Familiarity with robot simulation platforms like Mujoco, NVIDIA Isaac Stack, or Drake Strong enthusiasm for robotics and developing robotic products Superior analytical and problem-solving abilities Mastery of Python and proficiency in at least one major deep learning framework (PyTorch, TensorFlow, or Jax) Demonstrated research excellence, evidenced by publications in prestigious conferences such as RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc Preferred Qualifications PhD in Computer Science, Electrical Engineering, Robotics, or related discipline Familiarity with multi-modal foundation models Exceptional creativity, productivity, and independent research skills

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