Machine Learning Intern Internships
Machine learning intern internships give university students, recent graduates, and early-career switchers hands-on project experience building and evaluating models alongside working engineers and working data scientists, and, at many employers, a path toward a full-time offer. Roles are concentrated across Technology & Software, Science & Research, and Retail, with TikTok, ByteDance, and AMD among the employers posting roles now.
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About CoVar
CoVar is a small, mission-driven AI/ML R&D software company based in Durham, NC and McLean, VA. We build advanced software and machine learning systems that help the DoW detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that save lives. Our team is composed of curious, passionate engineers who care deeply about using AI to solve real-world problems that matter.
Internship Overview
- 8-12 weeks – flexible, depending on your schedule
- In-person in Durham, NC
- Competitively paid internship
- Matched with one project based on your current expertise and interests
- Paired with an advisor or project lead who will guide you and help you set and meet your goals
- Concludes with you presenting your work either internally to CoVar or externally to the customer
Interview Timeline
- Accepting applications online from now to mid-November 2026
- Interviews starting in September 2026
- Interview steps consist of a video screening and a code screening
- Offers out by end of November 2026
About the position
You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You may have the opportunity to present your work to high-level customers in the DoW and in the industry.
Qualifications
Applicants should have expertise in Python (including NumPy, pandas, and other packages) and PyTorch. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with some computer vision algorithms (e.g., for object classification (ResNet, ResNext), object detection (e.g., YOLO, CenterNet), or image segmentation) and/or other modern image processing AI/ML techniques (vision image transformers, vision language models, etc.). Previous experience with DoW customers is a plus.
Minimum qualifications
- Software expertise: Python and associated numerical and analytics packages (NumPy, pandas, etc.); git; PyTorch.
- AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
- Pursuing B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
- Excellent technical communication skills
- Ability to work in Durham, NC (relocation assistance available)
- Work authorization: US citizen
Bonus skills
- Department of War project experience
Benefits
- Competitive hourly wages
- Flexible work schedule
- Hybrid policy (in office at least 3x per week)
Email us: careers@covar.com
Visit us: www.covar.com
About CoVar
CoVar is a small, mission-driven AI/ML R&D software company based in Durham, NC and McLean, VA. We build advanced software and machine learning systems that help the DoW detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that save lives. Our team is composed of curious, passionate engineers who care deeply about using AI to solve real-world problems that matter.
Internship Overview
- 8-12 weeks – flexible, depending on your schedule
- In-person in Durham, NC
- Competitively paid internship
- Matched with one project based on your current expertise and interests
- Paired with an advisor or project lead who will guide you and help you set and meet your goals
- Concludes with you presenting your work either internally to CoVar or externally to the customer
Interview Timeline
- Accepting applications online from now to mid-November 2026
- Interviews starting in September 2026
- Interview steps consist of a video screening and a code screening
- Offers out by end of November 2026
About the position
You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You may have the opportunity to present your work to high-level customers in the DoW and in the industry.
Qualifications
Applicants should have expertise in Python (including NumPy, pandas, and other packages) and PyTorch. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with some computer vision algorithms (e.g., for object classification (ResNet, ResNext), object detection (e.g., YOLO, CenterNet), or image segmentation) and/or other modern image processing AI/ML techniques (vision image transformers, vision language models, etc.). Previous experience with DoW customers is a plus.
Minimum qualifications
- Software expertise: Python and associated numerical and analytics packages (NumPy, pandas, etc.); git; PyTorch.
- AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
- Pursuing B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
- Excellent technical communication skills
- Ability to work in Durham, NC (relocation assistance available)
- Work authorization: US citizen
Bonus skills
- Department of War project experience
Benefits
- Competitive hourly wages
- Flexible work schedule
- Hybrid policy (in office at least 3x per week)
Email us: careers@covar.com
Visit us: www.covar.com
Machine Learning Intern Internship Market
Who's Hiring
- TikTok33
- ByteDance11
- AMD4
- Amazon3
- TikTok USDS JV3
Top Industries Hiring
- Technology & Software12
- Science & Research3
- Retail1
- Healthcare & Medical Services1
- Investment & Asset Management1
Tips for Your Machine Learning Intern Internship Search
Apply in the fall for summer roles
Large tech, finance, and consulting employers open summer machine learning intern cohorts as early as August or September of the prior year. If you wait until spring, the structured programs are often full. Set a reminder to check postings at the start of each academic semester so you don't miss the early window.
Build a project portfolio before you apply
For machine learning intern candidates, a linked GitHub repository with two or three documented projects carries more weight than a list of coursework alone. Each project should name the dataset, the model or method used, and the result. Recruiters screen for evidence you can run an end-to-end ML workflow, not just that you took the class.
Work your campus network and apply directly at the same time
Campus career fairs surface structured 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 and reduces your dependence on any single recruiting channel.
Practice coding screens out loud before your first interview
Machine learning intern interviews typically include a coding screen on data structures and algorithms, plus questions on probability, statistics, and ML fundamentals. Practice explaining your reasoning as you work through problems, not just producing the answer, since interviewers weigh how you think through ambiguity as much as whether your final solution is correct.
Target structured ML internship programs at larger companies
Many large technology and research employers run dedicated machine learning or AI research internship cohorts designed to train people new to the field in a structured setting. These programs recruit early, fill fast, and often have defined project tracks and mentorship built in. Identify the programs that match your background and apply in the first recruiting wave.
Set your work-type filter before you start
On-site roles are 77% of the machine learning intern internships listed here. Decide what you can commit to before you start sorting through listings, then filter by location and work type on Migrate Mate so you spend your time on roles you can actually take rather than applying broadly and discovering the constraint later.
Machine Learning Intern Internships: Frequently Asked Questions
How do I get a machine learning intern internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. A linked GitHub repository with documented ML experiments or a Kaggle notebook gives recruiters something concrete to assess. Apply directly to companies and attend campus career fairs, where recruiters often move faster for students they meet in person.
Can a machine learning intern 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 the quality of your project work, whether the team has open headcount, and whether you express interest before the return-offer deadline. Treat the internship as real work, ask for feedback early, and deliver on your core project without counting on an offer.
When should I apply for machine learning intern internships?
Earlier than most candidates expect. Large employers, including major tech and finance companies, recruit summer interns the preceding fall, with some programs opening in August or September. Smaller companies and co-op programs post closer to their actual start dates, so machine learning intern openings appear year-round, not only in spring.
Are machine learning intern internships paid?
Most professional machine learning intern internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, it appears directly on the listing, so you can compare opportunities as you search without needing to ask upfront.
What should a machine learning intern internship resume include?
Lead with two or three complete, documented projects rather than work history, naming the tools and frameworks used and linking to the code on GitHub or a public notebook. Add relevant coursework in machine learning, statistics, or linear algebra. Keep the resume to one page, since hiring teams at the intern level are assessing potential, not career history.
Are there remote machine learning intern internships?
Yes. Remote and hybrid roles make up 23% of the machine learning intern internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants nationally, so apply early once you decide what works for your situation and filter by work type to see only the listings you can actually take.
What is a machine learning research internship and how is it different?
A machine learning research internship is hosted by a company or lab with an active research team, usually requiring familiarity with recent papers and independent experimental work rather than shipping production features. These programs recruit early, often through faculty referrals or conference recruiting, and are competitive. Apply in the first wave and have a technical project or paper you can speak to in depth.
Can international students get machine learning intern 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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