Revenue Operations
modal
ML Research Intern
modal· Engineering
About this role
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.
Frequently Asked Questions
What is the salary for the ML Research Intern role at modal?
The listed salary for this ML Research Intern position at modal is USD 15K–15K. This is an FullTime role.
Where is the ML Research Intern position at modal located?
This ML Research Intern role at modal is based in New York, San Francisco. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the ML Research Intern role at modal full-time or part-time?
This is listed as a FullTime position. It is posted as a ML Research Intern role in the Engineering department at modal.
Which team or department does the ML Research Intern at modal belong to?
This ML Research Intern position is part of the Engineering department at modal. See the full job description for more information about the team structure and responsibilities.
How do I apply for the ML Research Intern position at modal?
Click the "Apply Now" button on this page. You will be redirected to modal's official application portal hosted on ashby where you can submit your application directly.
When was the ML Research Intern job at modal posted?
This ML Research Intern position at modal was posted on Jul 28, 2026. Apply as soon as possible — early applications are often reviewed first.
ML Research Intern
modal · 💰 USD 15K–15K
You'll be redirected to modal's official application page on Ashby ATS.