PhD Research Intern - Winter/Summer 2026
26 Minutes ago • All levels
Research Development
Job Description
We are seeking smart, motivated, and curious PhD students for Research Scientist Intern positions in Winter/Summer 2026. This role offers a unique opportunity to explore new research in AI, reinforcement learning, and multi-agent systems with an elite team. Interns will have the resources to pursue their best work, encouraged to publish, and will contribute to shipping consumer products powered by AI, building research infrastructure, and innovating cutting-edge research.
Good To Have:
- Publications at top conferences (ICML, ICLR, Neurips, UAI, RSS, CoRL, JMLR, TMLR etc)
- Experience with large-scale distributed training or inference engines (e.g., DeepSpeed, vLLM, FSDP)
- Contributions to open-source projects in AI/ML or systems research
- Cross-disciplinary interests (e.g., neuroscience, human-computer interaction, generative media)
Must Have:
- Currently pursuing a PhD in Computer Science (AI/ML, NLP, Robotics, etc.), or computational fields in Physics, Chemistry, Biology, Neuroscience, Cognitive Science, etc.
- Demonstrated ability to design, implement, and evaluate experiments
- Strong publication record or evidence of impactful research contributions
- Startup-oriented mindset: excited by ambiguity, rapid iteration, and big ideas
Perks:
- Small, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companies
- True ownership (not blocked by bureaucracy, shipping meaningful work within weeks rather than months)
- Serious momentum (well-funded by top investors, moving fast, and focused on execution)
- Generous compensation
- Flexible start and end date
About the Role
We’re looking for smart, motivated, and curious PhD students to join us next summer or earlier as Research Scientist Interns. This is a unique opportunity to explore new research directions in AI, reinforcement learning, and multi-agent systems while working alongside a small, elite team of researchers and engineers.
You will not be constrained to our current product goals, but rather, you will be given the resources needed to accomplish your best work. You will be encouraged to publish your work with us in conferences/journals.
Qualifications
- Currently pursuing a PhD in Computer Science (AI/ML, NLP, Robotics, etc.), or computational fields in Physics, Chemistry, Biology, Neuroscience, Cognitive Science, etc.
- Demonstrated ability to design, implement, and evaluate experiments
- Strong publication record or evidence of impactful research contributions
- Startup-oriented mindset: excited by ambiguity, rapid iteration, and big ideas
Bonus
- Publications at top conferences (ICML, ICLR, Neurips, UAI, RSS, CoRL, JMLR, TMLR etc)
- Experience with large-scale distributed training or inference engines (e.g., DeepSpeed, vLLM, FSDP)
- Contributions to open-source projects in AI/ML or systems research
- Cross-disciplinary interests (e.g., neuroscience, human-computer interaction, generative media)
What makes us interesting
- Small, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companies
- True ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than months
- Serious momentum We're well-funded by top investors, moving fast, and focused on execution
What we do
- Ship consumer products powered by cutting-edge AI research, and
- Build infrastructure that facilitates research and product, and
- Innovate cutting-edge research that will open up new consumer product forms
The Details
- Minimum 40 hours a week, onsite in Menlo Park (start and end date flexible)
- Startup hours apply
- Generous compensation
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