This internship opportunity is with the Offline Driving Intelligence team working on ML-Agents within Zooxs broader Foundation Models organization. The team focuses on creating driving policies that behave like humans (in driving simulation environments). We are developing multi-agent simulation tackling open research problems at the frontier of large-scale reinforcement and imitation learning.
Interns on this team will have the opportunity to develop state-of-the-art agent policies contribute to publishable research and receive mentorship from experienced researchers in the field. Interns will work with a mentor to address a major open research question currently facing the team. There is a direct path from the novel research of this internship to being used in production as part of the simulation system that tests Zooxs autonomous driving software.
Requirements
Currently working towards a Ph.D. or advanced degree in a relevant engineering program
Good academic standing
Able to commit to a 12-week internship during one of the following summer 2026 cohorts: May 18th - August 7th OR May 26th - August 14th OR June 15th - September 4th
Ability to relocate to the Bay Area CA or Seattle WA for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis any published work with their university or to be distributed to anyone outside of Zoox
Qualifications
Experience with imitation learning (both behavior cloning and closed-loop methods)
Experience with online reinforcement learning
Advanced understanding of Python PyTorch and Jax
Experience working in large codebases as part of a team
Has authored publications in top ML/robotics conferences (e.g. NeurIPS CVPR ICRA etc)
Bonus Qualifications
Experience with autonomous driving
Experience with robotics planning
Experience with inverse reinforcement learning
Experience with multi-agent reinforcement learning
Compensation:
The monthly salary for this position is $9500. Compensation will vary based on geographic location. Additional benefits may include medical insurance and a housing stipend (relocation assistance will be offered based on eligibility).
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Intern
This internship opportunity is with the Offline Driving Intelligence team working on ML-Agents within Zooxs broader Foundation Models organization. The team focuses on creating driving policies that behave like humans (in driving simulation environments). We are developing multi-agent simulation tac...
This internship opportunity is with the Offline Driving Intelligence team working on ML-Agents within Zooxs broader Foundation Models organization. The team focuses on creating driving policies that behave like humans (in driving simulation environments). We are developing multi-agent simulation tackling open research problems at the frontier of large-scale reinforcement and imitation learning.
Interns on this team will have the opportunity to develop state-of-the-art agent policies contribute to publishable research and receive mentorship from experienced researchers in the field. Interns will work with a mentor to address a major open research question currently facing the team. There is a direct path from the novel research of this internship to being used in production as part of the simulation system that tests Zooxs autonomous driving software.
Requirements
Currently working towards a Ph.D. or advanced degree in a relevant engineering program
Good academic standing
Able to commit to a 12-week internship during one of the following summer 2026 cohorts: May 18th - August 7th OR May 26th - August 14th OR June 15th - September 4th
Ability to relocate to the Bay Area CA or Seattle WA for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis any published work with their university or to be distributed to anyone outside of Zoox
Qualifications
Experience with imitation learning (both behavior cloning and closed-loop methods)
Experience with online reinforcement learning
Advanced understanding of Python PyTorch and Jax
Experience working in large codebases as part of a team
Has authored publications in top ML/robotics conferences (e.g. NeurIPS CVPR ICRA etc)
Bonus Qualifications
Experience with autonomous driving
Experience with robotics planning
Experience with inverse reinforcement learning
Experience with multi-agent reinforcement learning
Compensation:
The monthly salary for this position is $9500. Compensation will vary based on geographic location. Additional benefits may include medical insurance and a housing stipend (relocation assistance will be offered based on eligibility).
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
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