Company Overview
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 sizable funding already in place, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.
The Role
We are looking for excellent research interns to assist us in spearheading the design and development of cutting-edge AI models for dexterous robotic manipulation—a critical pillar in driving our go-to-market applications and advancing our vision of adaptable, multi-functional robots. Start-date flexible with preference for as soon as possible. This internship is 5 days (Mon-Fri) onsite for a minimum of 12 weeks in our Redwood City, CA office. In this position, you will collaborate closely with researchers and engineers to conduct world-class research and development.
Qualifications
- Applicants should be current students (Bachelor’s, Master’s and/or PhD)
- Strong programming experience and software engineering skills in Python, C/C++, or a similar language
- Proficiency with ML and deep learning frameworks such as PyTorch and Jax
- Experience and/or passion in AI and robotics engineering
- Excellent analytical and problem-solving skills
- Adaptability to perform tasks necessary to ensure model or algorithm success in real-world applications
Preferred Technical And Professional Expertise
- Experience with training and using multi-modal foundation models
- Hands-on experience working with robotic hardware
- Familiarity and experience implementing robot learning papers
- High levels of creativity, productivity, and autonomy in research
- Strong algorithmic problem solving skills
