Modal
ML Research Intern
New York +1 · On-site · Internship · Posted Jul 28, 2026
- Location
- New York
San Francisco - Education
- Currently pursuing a PhD in computer science, machine learning, or a related field.
About the job
Conduct research on methods for large-scale model training, optimization, and inference, and improve models for long-context tasks and reliable real-world deployment.
What you'll do
- Improve existing methods and develop 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 deployments.
What they ask for
- Currently pursuing a PhD in computer science, machine learning, or a related field.
- Demonstrated research record in reinforcement learning, machine learning, foundation models, or related areas.
- Experience developing and evaluating large-scale models or machine learning systems.
- Strong programming and engineering skills to turn research ideas into working implementations.
Nice to have
- 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.
Pay
$15K per month (currency and pay type not stated)
AI focus
Research and develop methods for large-scale model training, optimization, inference, and deployment, including reinforcement learning, foundation models, and long-context tasks.
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