The Best AI Startup Internships

Which AI startups hire interns?

The companies on this list are the ones to research first, and they fall into a few recognizable groups. Foundation model and research labs such as OpenAI, Anthropic, xAI, Mistral AI, and Cohere hire small, competitive research and engineering groups. Infrastructure and data platform companies including Databricks, Scale AI, CoreWeave, and Crusoe hire more broadly across engineering and operations. Applied product companies such as Perplexity, Glean, Harvey, ElevenLabs, Sierra, Decagon, and Notion take interns into product engineering, design, and go-to-market roles. Chip and hardware startups like Etched and Tenstorrent hire for hardware and systems work. Program availability changes year to year, so confirm current openings on each company's careers page.

How is an AI startup internship different from one at a large tech company?

Scope and structure are the main differences. Large companies usually give interns a scoped, pre-planned project with a mentor, formal check-ins, and a defined evaluation rubric. AI startups more often hand interns work that is on the critical path, with less scaffolding and a real chance the priority shifts mid-term. That means more ownership and faster feedback, but also less predictability and less formal mentorship. Compensation at the better-funded labs is competitive with big tech, while at smaller startups it varies widely. Brand recognition also differs. A big tech internship is legible on any resume, while a startup internship is judged on what you actually shipped.

Do I need research experience or publications to get one?

For research scientist and research engineer roles at the frontier labs, usually yes. Those positions typically expect graduate-level work, published papers, or equivalent depth, and they hire very few people. For the much larger set of engineering, infrastructure, product, and applied roles at AI startups, no. What those teams screen for is strong general software engineering, evidence you can learn quickly, and some demonstrated familiarity with modern machine learning tooling. A well-built project that uses models rather than training them from scratch is credible evidence. The mistake is assuming every AI internship is a research internship, when most of the open roles at these companies are engineering roles.

Can I get an AI internship if I'm not a computer science major?

Yes, and there are two distinct routes. The technical route is open to math, statistics, physics, and engineering students, who often bring stronger foundations than computer science students for research-adjacent work, though you will need real programming ability regardless of major. The non-technical route is larger than most candidates realize. AI startups hire interns for product, design, operations, recruiting, marketing, developer relations, and business roles, and these teams frequently prefer people who understand the product domain. What they screen for in either case is genuine engagement with the technology, shown through something you have built, written, or tested.

What is the difference between a research internship and an applied AI internship?

A research internship centers on open questions about training methods, model behavior, and evaluation, and success looks like an experiment, a result, or a paper. These roles are concentrated at a handful of labs, expect graduate-level background, and are the hardest to get. An applied or product internship centers on building with existing models: retrieval systems, agent workflows, evaluation harnesses, inference performance, or the product surface around a model. Success looks like shipped software. Applied roles are far more numerous, more accessible to undergraduates, and increasingly what employers mean by "AI engineer." Read the responsibilities rather than the title, since naming is inconsistent.

What do interns at AI startups actually work on?

More production work than at a typical large-company internship. Common assignments include building and tuning retrieval or agent pipelines, writing evaluation harnesses to measure whether model output is actually improving, reducing inference latency and cost, building internal tooling that lets the team ship faster, and data pipeline work for training or fine-tuning. Non-engineering interns handle customer research, competitive analysis, documentation, and go-to-market experiments. Because these teams are small, interns frequently touch code that reaches users during the term. The tradeoff is that priorities move, so the project you are assigned in week one may not be the one you present at the end.

How does pay at AI startups compare to big tech?

At the well-funded labs and infrastructure companies, intern pay is broadly competitive with big tech, and a few pay above it. At smaller or earlier-stage startups it is more variable, and some offer a lower cash rate. Equity is generally not part of an internship package, so the headline number is usually the whole offer, unlike full-time startup packages. Housing stipends and relocation support are common at larger companies and inconsistent at smaller ones, which matters because many of these roles are in San Francisco or New York. Ask about the hourly or monthly rate, expected hours, and any housing support before accepting.

When do AI startup internships open, and how early should I apply?

Earlier than most students expect, and on a less predictable schedule than big tech programs. The larger labs and infrastructure companies increasingly run summer recruiting on a big-tech-like calendar, opening applications in the late summer or early fall of the preceding year and filling seats as applications arrive. Smaller startups post much later, often only two to four months ahead, when a team decides it can support an intern. In practice that means checking through the fall for the structured programs and continuing to check into the spring for everything else. Applying within days of a posting matters more here than at large companies.

Do AI startups sponsor international interns?

Some do, but capacity varies far more than at large employers. Most US internships for F-1 students run on Curricular Practical Training, or CPT, which your school authorizes rather than the company. That means many startups can host an intern without doing anything unusual, though smaller companies are sometimes unfamiliar with the paperwork and decline for that reason alone. The better-funded labs and infrastructure companies generally have lawyers and process in place. Whether a startup will sponsor a work visa when an internship converts to a full-time job is a separate question with a different answer. Ask early. This is general information, not immigration advice.