ML Research Intern

THE ROLE:

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team.

WHAT YOU’LL WORK ON:

- Improve existing methods and develop new techniques for large-scale model training, optimization, and inference

- Extend models to long-context and long-horizon tasks

- Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments

YOU MAY BE A FIT IF:

- You’re currently pursuing a PhD in computer science, machine learning, or a related field

- You have a demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas

- You have experience developing and evaluating large-scale models or machine learning systems

- You’re familiar with distributed training, large-scale inference, or multi-GPU environments

- You have publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR

- You have strong programming and engineering skills and can translate research ideas into working implementations

- You have a collaborative, mission-driven mindset and can work effectively across research and engineering teams