ML Engineer Internships
Ml engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying machine learning systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Technology & Software, Biotechnology & Pharmaceuticals, and Science & Research account for the most openings, 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
ML Engineer 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 ML Engineer Internship Search
Apply earlier than you think necessary
Large tech, finance, and research employers open summer ml engineer intern recruiting the preceding fall and close pipelines before winter break. Smaller companies and co-op programs post closer to start dates, so roles appear year-round. Set listing alerts now rather than waiting for spring.
Build a project portfolio before you apply
Hiring teams assessing ml engineer interns look for documented projects, not a long work history. A GitHub profile with two or three complete projects, showing model architecture, training code, evaluation results, and a brief write-up, gives recruiters something concrete to assess before your first screen.
Work your campus network and apply directly at the same time
Campus career fairs surface structured intern 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 campus activity widens the pool you reach without duplicating effort.
Practice ML technical screens out loud
Ml engineer intern screens typically combine coding questions on data structures and algorithms with ML-specific problems, loss functions, model selection, or debugging a training pipeline. Practice explaining your reasoning while you work through problems, because interviewers weigh how you think as much as the final answer.
Target structured university and cohort programs early
Many larger employers run dedicated ML intern cohorts or university hiring programs built to train people new to the field. These programs recruit earlier than general intern pipelines and fill fast. Identify which ones accept applications from your school and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start
On-site roles are 81% of the ml engineer internships listed here. Decide what you can commit to, on-site relocation, a hybrid schedule, or fully remote, before you start applying. Filtering by location and work type upfront means you won't spend time on roles you can't take.
ML Engineer Internships: Frequently Asked Questions
How do I get an ml engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. A GitHub portfolio of complete, documented ML projects gives recruiters something concrete to assess: model architecture choices, training pipelines, and evaluation results. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ml engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for ml engineer interns is performance on real project work, available headcount on the team, and return-offer timing at the end of your cohort. Treat the internship as an extended interview without banking on an offer to materialize.
When should I apply for ml engineer internships?
Earlier than most students expect. Large tech and finance employers open summer intern recruiting the preceding fall, often closing pipelines before winter break. Smaller companies, startups, and co-op programs post much closer to start dates, so openings appear year-round. Checking listings regularly and setting alerts means you won't miss an early-close deadline.
Are ml engineer internships paid?
Most professional ml engineer internships in the United States are paid. Compensation varies by company size, industry, and location. Listings show compensation where the employer chooses to disclose it, so you can compare what's available without having to ask upfront.
What should an ml engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented ML projects naming the frameworks used (PyTorch, TensorFlow, scikit-learn) and link directly to your GitHub repositories or a project write-up. Add relevant coursework in machine learning, statistics, and algorithms. Keep the whole document to one page, recruiters move quickly through intern applications.
Are there remote ml engineer internships?
Yes. Remote and hybrid roles make up 19% of the ml engineer 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.
What is an FAANG-style new grad or intern program for ml engineers?
Several large technology companies run structured ML intern cohorts, sometimes called university hiring programs or research intern tracks, that are separate from general engineering pipelines. They target students earlier in their studies, pair interns with a dedicated research or product mentor, and recruit competitively starting in the fall. Identifying these programs by name and applying in the first recruiting wave gives you the best chance of a slot.
Can international students get ml engineer 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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