The opportunity
AI needs a new infrastructure layer. We're building it at Modal.
What you'll do
A PhD in computer science, machine learning, or a related field. Candidates: with a master’s degree and significant research or industry experience will also be considered.
A demonstrated record of research accomplishments in reinforcement learning,: machine learning, foundation models, or related fields.
Experience with large-scale training and inference infrastructure, including: distributed systems and multi-node GPU clusters.
Experience developing, training, optimizing, or deploying state-of-the-art large-scale models.
First-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR.
A mission-driven mindset and a strong desire to translate research advances into meaningful product impact.
What they're looking for
- A collaborative spirit and the ability to work effectively across research and engineering teams.
