Modal
AI & Machine LearningDirect Ashby career site

ML Research Intern

Location
New York City, NY · On-site
Job type
Per diem
Level
Entry level
Listed
30 days ago

Skills & highlights for this role

  • reinforcement learning
  • large language models
  • distributed training

Also useful

  • multimodal models
  • large-scale inference
  • multi-GPU environments

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. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments.

Preferred Qualifications

  • Currently pursuing a PhD in computer science, machine learning, or a related field.
  • A 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, with the ability to translate research ideas into working implementations.
  • A collaborative, mission-driven mindset and the ability to work effectively across research and engineering teams.

About US

AI needs a new infrastructure layer. We're building it at Modal.

Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.

Our customers include category-defining companies like Lovable Ramp Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.

We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

Our team includes creators of popular open-source projects (e.g.,Seaborn), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

Read the original posting

From Modal's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the ML Research Intern job at Modal located?

This ML Research Intern position at Modal is located in New York City, NY (On-site). Always check Modal's application page for specific state eligibility or relocation policies.

What qualifications are required for ML Research Intern at Modal?

For the ML Research Intern role, Modal highlights experience with reinforcement learning, large language models, distributed training. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the ML Research Intern position at Modal?

This listing links directly to Modal's Ashby application page. You can apply directly on Modal's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.