ML Research Intern

What you'll do

• Research advances in reinforcement learning, machine learning, and large language/multimodal models
• Create improved approaches for training, tuning, and running models at scale
• Adapt models to handle extended context windows and longer task sequences
• Enhance speed, dependability, and resilience of inference in production environments

What they're looking for

• PhD candidate in computer science, machine learning, or adjacent discipline
• Track record of contributions to reinforcement learning, ML, or foundational model research
• Background building or testing sophisticated models and systems
• Hands-on experience with parallel training, high-volume inference, or multi-GPU setups
• Published work in top-tier conferences including NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, TMLR
• Solid coding ability to convert theoretical concepts into functional code