Research Internship Robotics
Seattle-based nonprofit AI research institute developing openly released models, datasets, tools, and AI applications for science, the environment, and robotics.
Funding history
About Allen Institute for AI (Ai2)
Ai2 is a nonprofit AI research institute founded by Paul Allen in 2014. It develops openly documented language and multimodal models, training data and code, plus applied AI systems for scientific discovery, planetary intelligence, and conservation.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will conduct AI and robotics research under a mentor's guidance. You may build AI systems or components, develop datasets, run experiments, investigate scientific literature, and discuss research progress and ideas with your mentor. You will support research on robotics foundation models, skills, simulation, world models, reinforcement learning, and real-world robots.
Requirements
- Be pursuing a PhD in robotics, machine learning, or a related field
- Have interest and experience in cutting-edge artificial intelligence and robotics research
- Have a publication record at robotics or AI conferences
- Demonstrate strong software engineering skills in physics simulation, machine learning, and robot control
Responsibilities
- Conduct AI research under mentor guidance
- Build AI systems or system components
- Develop datasets
- Conduct experiments
- Read scientific literature to investigate AI research
- Meet with a mentor to discuss research progress and ideas
Benefits
- Medical, dental, and vision coverage for team members and their families
- Employee assistance program
- Health savings account, healthcare reimbursement arrangement, and flexible spending account plans
- $125 per month for commuting or internet expenses
- $200 per month for fitness and wellbeing expenses
- Sick leave in line with Seattle requirements
- Paid recognized holidays when normally scheduled to work
- Visa sponsorship