The opportunity
AI needs a new infrastructure layer. We're building it at Modal.
What you'll do
Currently pursuing a PhD in computer science, machine learning, or a related field.
A demonstrated record of research in reinforcement learning, machine: learning, foundation models, or related areas.
Experience developing and evaluating large-scale models or machine learning systems.
Familiarity with distributed training, large-scale inference, or multi-GPU environments.
Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR.
Strong programming and engineering skills, with the ability to translate: research ideas into working implementations.
What they're looking for
- A collaborative, mission-driven mindset and the ability to work effectively: across research and engineering teams.
