PhD ML Research Intern: RL & Foundation Models

Triwill Group; New York (NY); On-site; USD 66,960 - 100,440; Full time

Job summary

Modal in New York invites PhD research interns with strong experience in reinforcement learning, machine learning, and foundation models to join our research team.

This internship is well suited to candidates aiming to improve existing methods and develop new techniques for large-scale model training, optimization, and inference, extending models to long-context tasks and improving reliability in real-world deployments.

Qualifications

• PhD studies in CS, ML or related field.
• Proven research in reinforcement learning, ML, or foundation models.
• Experience building and evaluating large-scale ML systems.
• Familiarity with distributed training and multi-GPU setups.
• Publications at NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR.
• Strong coding and engineering skills to translate ideas into working code.
• Collaborative mindset across research and engineering teams.

Responsibilities

• Join a research team to advance RL, ML and foundation models.
• Contribute to scaling model training, inference, and efficiency.
• Publish findings and collaborate with engineering partners.

Skills

Research experience

Reinforcement learning

Foundation models

Machine learning systems

Publications

Programming and engineering

Team collaboration

Education

PhD in computer science / ML or related

Job description

Modal in New York invites PhD research interns with strong experience in reinforcement learning, machine learning, and foundation models to join our research team.

This internship is well suited to candidates aiming to improve existing methods and develop new techniques for large-scale model training, optimization, and inference, extending models to long-context tasks and improving reliability in real-world deployments.