Machine Learning Internships
Machine learning internships give university students, recent graduates, and early-career switchers hands-on project experience working alongside working engineers and data scientists, and, at many employers, a path toward a full-time offer. Roles are active across Technology & Software, Biotechnology & Pharmaceuticals, and Science & Research, with TikTok, PlusAI, and Tesla among the employers posting roles now.
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Our 10-week internship is your chance to experience life as a Quant Researcher at IMC. You will work alongside your mentor to explore new research ideas and build custom analysis tools that may be deployed into production. Throughout the summer, there will be opportunities to enhance your knowledge of options theory, market making, algorithm complexity and trades analysis. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full time Graduate Researcher position at the end of the program. Where you go from here is up to you!
- Team up with Quant Researchers to work on real projects that have potential to impact our business
- Enhance your understanding of options theory through classroom-based instruction
- Develop your research skills with support and feedback from a dedicated mentor and intern lead
- Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork
- Engage in professional development sessions aimed at helping you envision your future at IMC
- Attend a full-schedule of events and social activities to get to know your cohort and current employees
- Current university student pursuing an advanced degree such as a PhD in an applied technical field such as Machine Learning, Computer Science, Computer Engineering, Physics, Statistics, or Mathematics and graduating between September 2027 – July 2028
- Direct experience in applying deep learning, or alternatively an academic track record of publications in a related domain
- Has a passion for research and solving complex problems
- A creative thinker who is driven, resilient, and eager to develop trading intuition
- Experience in a programming language (Python, C, C++) is highly desired
- Must be able to start internship in-person on June 7, 2027
Our 10-week internship is your chance to experience life as a Quant Researcher at IMC. You will work alongside your mentor to explore new research ideas and build custom analysis tools that may be deployed into production. Throughout the summer, there will be opportunities to enhance your knowledge of options theory, market making, algorithm complexity and trades analysis. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full time Graduate Researcher position at the end of the program. Where you go from here is up to you!
- Team up with Quant Researchers to work on real projects that have potential to impact our business
- Enhance your understanding of options theory through classroom-based instruction
- Develop your research skills with support and feedback from a dedicated mentor and intern lead
- Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork
- Engage in professional development sessions aimed at helping you envision your future at IMC
- Attend a full-schedule of events and social activities to get to know your cohort and current employees
- Current university student pursuing an advanced degree such as a PhD in an applied technical field such as Machine Learning, Computer Science, Computer Engineering, Physics, Statistics, or Mathematics and graduating between September 2027 – July 2028
- Direct experience in applying deep learning, or alternatively an academic track record of publications in a related domain
- Has a passion for research and solving complex problems
- A creative thinker who is driven, resilient, and eager to develop trading intuition
- Experience in a programming language (Python, C, C++) is highly desired
- Must be able to start internship in-person on June 7, 2027
Machine Learning Internship Market
Who's Hiring
- TikTok33
- PlusAI5
- Tesla4
- PathAI3
- ByteDance3
Top Industries Hiring
- Technology & Software43
- Biotechnology & Pharmaceuticals4
- Science & Research3
- Artificial Intelligence3
- Healthcare & Medical Services3
Tips for Your Machine Learning Internship Search
Apply before the fall recruiting window closes
Large employers in technology, finance, and research open summer internship applications the preceding fall, often filling cohorts before spring semester begins. Smaller companies and co-op programs post closer to start dates, so check listings consistently rather than waiting for a single season.
Build a portfolio before you send a single application
Machine learning intern screens rely on something reviewable. Two or three documented projects with linked GitHub repositories, Jupyter notebooks, or published analyses give recruiters concrete evidence of what you can do with data, models, and code. Coursework in linear algebra, statistics, and deep learning fills in the formal foundation.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside those campus relationships widens the pool you can realistically reach.
Practice the technical screen out loud before you apply
Machine learning intern interviews typically involve a coding screen on data structures, algorithms, and sometimes applied modeling problems. Practice explaining your reasoning as you work, not just producing a final answer, since interviewers weigh how you think through a problem as heavily as whether you get it right.
Target structured machine learning programs early
Larger companies run rotational and cohort-based internship programs specifically designed to train people new to machine learning and applied AI. These programs recruit early, fill fast, and often have a formal application window. Identify the ones that match your background and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start searching
On-site roles are 81% of the machine learning internships listed here. Decide what you can actually commit to before you start sorting through listings. Filtering by location and work type upfront means you spend time on roles you can take, not ones you'll decline after the screen.
Machine Learning Internships: Frequently Asked Questions
How do I get a machine learning internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. The concrete artifact that gives recruiters something to assess is a portfolio of documented projects with linked code or published notebooks. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a machine learning internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is performance on real deliverables, available headcount on the team, and return-offer timing at that company. The practical approach is to treat every project and code review as the interview for the role you want next, without planning your career around an offer that may not come.
When should I apply for machine learning internships?
Earlier than most expect. Large employers, particularly in technology and finance, recruit summer interns the preceding fall, sometimes opening applications in August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Check listings regularly rather than waiting for a single application season.
Are machine learning internships paid?
Most professional machine learning internships in the United States are paid. Compensation varies by company size, industry, and location, and many employers disclose a pay range directly in the listing. Where a range appears, you'll see it in the posting itself.
What should a machine learning internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and frameworks used and link to the code repository or published analysis so a recruiter can review the actual work. Add relevant coursework in areas like linear algebra, statistics, and deep learning. Keep the resume to one page.
Are there remote machine learning internships?
Yes. Remote and hybrid roles make up 19% of the machine learning internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them before they close.
Can international students get machine learning internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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