ML Research Intern
Modal
ML Research Intern at Modal is a full time role based in new york, new york, United States. The listing states pay of $15k+/mo. It was published on 28 July 2026 and was open at last check.
| Role | ML Research Intern |
|---|---|
| Company | Modal |
| Location | new york, new york, United States |
| Employment type | Full Time |
| Pay (as listed) | $15k+/mo |
| Published | 28 July 2026 |
| Status | Open at last check |
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,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
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.
Create your free OnJob profile to apply — we'll take you to Modal's application after sign-up. · Posted 28 Jul 2026.
ML Research Intern at Modal — questions answered
What does the ML Research Intern role at Modal pay?
The ML Research Intern at Modal listing states pay of $15k+/mo for the new york, new york, United States position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.
Where is the ML Research Intern role at Modal based?
Modal lists this ML Research Intern role in new york, new york, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Modal before you apply.
Is the ML Research Intern role at Modal still open?
The ML Research Intern posting at Modal was open at OnJob's last check of the employer's careers page, having been published on 28 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the ML Research Intern role at Modal?
Apply to the ML Research Intern at Modal role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Modal's own application page. Creating a profile is free and needs no card.
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