M
$15,000 / month
Listed on Modal’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Modal seeks PhD candidates to research improvements in large-scale AI model training, optimization, and inference efficiency. This role suits researchers with foundation-model or reinforcement-learning backgrounds who want to work on production systems at a company serving major AI applications.
Our summary, not Modal’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- Currently pursuing a PhD in Computer Science, Machine Learning, or related field
- Demonstrated research experience in reinforcement learning, machine learning, or foundation models
- Strong programming and engineering skills
Nice to have
- Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, TMLR)
- Experience developing and evaluating large-scale models or ML systems
- Familiarity with distributed training, large-scale inference, or multi-GPU environments
- Collaborative, mission-driven mindset