ML Research Intern
Modal, New York +1
The role
We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team.
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
What you need
- You’re currently pursuing a PhD in computer science, machine learning, or a related field
- You have a demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas
- You have experience developing and evaluating large-scale models or machine learning systems