The company is looking to innovate cutting-edge research in AI, reinforcement learning, and multi-agent systems to open up new consumer product forms and build infrastructure that facilitates research and product.
Requirements
- 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
- 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
Responsibilities
- explore new research directions in AI, reinforcement learning, and multi-agent systems
- design, implement, and evaluate experiments
- publish your work with us in conferences/journals
- large-scale distributed training or inference engines (e.g., DeepSpeed, vLLM, FSDP)
- Contributions to open-source projects in AI/ML or systems research
Other
- Currently pursuing a PhD
- Startup-oriented mindset: excited by ambiguity, rapid iteration, and big ideas
- Cross-disciplinary interests (e.g., neuroscience, human-computer interaction, generative media)
- Minimum 40 hours a week, onsite in Menlo Park (start and end date flexible)
- Startup hours apply
