ML Research Intern

The role

PhD research interns will improve existing methods and develop new techniques for large-scale model training, optimization, and inference. They will extend models to long-context and long-horizon tasks and improve inference-time efficiency, reliability, and robustness.

What you will do

• 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

Required qualifications

• Currently pursuing a PhD in computer science, machine learning, or a related field
• 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
• Ability to translate research ideas into working implementations
• Collaborative, mission-driven mindset

About the company

Modal is building a new infrastructure layer for AI. The company has passed $1B in annualized run rate and includes creators of popular open-source projects and academic researchers.