Internship Jobs
Internship jobs are open across technology, finance, healthcare, marketing, and engineering, covering specializations in data analysis, project coordination, and communications, from undergraduate and graduate students to recent graduates seeking full-time conversion. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 3,894+ Internship
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
Internship Jobs by Experience Level
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Who's Hiring
- ECS Limited366
- News101
- Tesla97
- ISG97
- Siemens93
Top Industries Hiring
- Technology & Software191
- Banking & Financial Services47
- Construction & Real Estate31
- Insurance27
- Healthcare & Medical Services23
What Employers Look For
The qualifications that appear most often in internship jobs.
- Currently enrolled in or recently graduated from a bachelor's or master's degree program
- Proficiency in Microsoft Office or Google Workspace tools including spreadsheets and presentations
- Familiarity with at least one programming language, data tool, or industry-specific software
- Strong written and verbal communication skills for professional settings
- Ability to work independently and manage multiple deadlines in a fast-paced environment
- Prior coursework, academic projects, or extracurricular experience relevant to the role's field
Tips for Your Internship Job Search
Tailor your resume to each internship
Internship recruiters scan for coursework, projects, and tools relevant to the specific role. Swap generic objective statements for a skills section that mirrors the job posting's exact language, whether that's Python, Figma, or financial modeling.
Apply early to roles that fit
Migrate Mate lists internship openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Build a project portfolio before applying
Employers hiring interns with limited experience rely heavily on demonstrated work. A GitHub repository, design case study, or research paper gives hiring managers something concrete to evaluate beyond your GPA or class list.
Target companies with structured programs
Structured internship programs have defined mentorship, project scopes, and conversion timelines, which means you get real deliverables for your resume. Check the job posting for words like cohort, mentor, or rotation to identify these programs.
Prepare for a behavioral and technical round
Most internship interviews combine a behavioral screen with a skills assessment, whether that is a coding challenge, a case question, or a writing sample. Practicing both formats before your first interview prevents surprises late in the process.
Follow up within 48 hours of your interview
A short, specific thank-you email referencing one topic from your conversation keeps your name in front of the hiring manager during decision week. Interns who follow up consistently report faster response times than those who wait.
Internship Jobs: Frequently Asked Questions
Which companies are hiring the most internships?
The companies hiring the most internships right now include ECS Limited, News, and Tesla, with the largest share of openings in Texas, Illinois, and California, based on current listings on Migrate Mate as of September 2026. Competition for these roles is highest in technology and finance tracks, so applying as soon as postings go live gives you the best shot.
How many internship jobs are remote?
About 49% of internship openings are fully remote or hybrid as of September 2026, with the highest remote share in software engineering, data analytics, and marketing roles. Hands-on fields like lab research, clinical rotations, and manufacturing tend to require in-person attendance, so check the location details on each listing before applying.
How do you become an intern?
Start by identifying industries that match your degree program or career interests, then build a resume that highlights relevant coursework, projects, and transferable skills. Apply to structured internship programs at companies that offer mentorship and defined project scopes, since those roles provide the most resume-worthy experience. After your internship, document your deliverables and outcomes in specific terms so future employers can evaluate your contributions.
How do you get an internship with little or no experience?
Lead with academic projects, class assignments, and extracurricular work that demonstrate the skills employers list in their postings. Applying to smaller companies, nonprofits, and startups often means less competition and a greater willingness to train candidates who show initiative. A well-written cover letter that explains what you want to learn and why this specific role fits your goals compensates significantly for a thin work history.
What does the internship interview process look like?
Most internship interview processes begin with a recruiter phone screen that covers your background and interest in the role, followed by a skills assessment or take-home assignment relevant to the team's work. A final round typically involves a panel or one-on-one interview with the hiring manager, where you walk through your projects and answer behavioral questions. Some highly competitive programs add a case study or technical challenge between rounds.
Where can I find and apply to internship jobs?
You can find and apply to internship jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your field, review the requirements and location details on each listing, and apply directly to the ones that fit your background and goals.
See All 3,894+ Internship Jobs
Find roles that match your experience and apply in just a few clicks.
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