Senior AI Research Scientist (Computer Vision)
Company Overview :
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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 key for unlocking both short-term GTM applications as well as the long-term vision of general-purpose robots.
Your particular research focus will be vision foundation for robot learning. 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 new computer vision algorithms for robotic manipulation and develop interfaces between robot perception and skill execution.
- Develop and implement these computer vision algorithms and integrate them with robotic systems.
- Collaborate with cross-functional teams to enhance robotic manipulation capabilities.
- Produce and deliver dependable, high-quality robotic software solutions.
Qualifications :
- Master's degree or above in Computer Science, Robotics, or related discipline, or comparable hands-on experience.
- Minimum 3 years' experience in AI and robotics research.
- Experience with 3D vision topics, such as NERF, gaussian splatting, egocentric learning, scene flow, pose estimation, and correspondence learning.
- 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.
- Familiarity with various robot data collection and model learning techniques.
- Familiarity with robot simulation platforms like Mujoco, NVIDIA Isaac.
- Practical experience deploying AI models on physical robots.
- Exceptional creativity, productivity, and independent research skills.
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