RefolkCandidates
JobsBuild my resume

ML Research Intern

Modal · New York

InternshipScience and researchEngineeringEngineeringPosted 3 days ago
Apply with a tailored resumeView the original posting

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 https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-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 https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/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: 1. Currently pursuing a PhD in computer science, machine learning,

Excerpt from the posting Modal published. Read the full description on their site before applying.

Apply to this role, tailored

Queue ML Research Intern at Modal and I will read the posting, rewrite your resume against it, draft the cover letter, and score the fit before you send anything.

Applications finish as drafts. Nothing is sent until you read it and press send. New accounts start with 500 free credits.

Tailor my applicationHow it works

More roles at Modal

See all

Similar roles elsewhere

See more

Listed from the job board Modal publishes. Refolk is not the employer and does not handle their hiring. Applications go to Modal directly.