Computer Vision Engineer Internships
Computer vision engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying real vision systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across {{top_industries_phrase}}, with Tesla, Amazon, and Robocollective.AI among the employers posting roles now.
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This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
Internship Program at Tesla
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We provide an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
The Cell Engineering team at Tesla is looking for a highly motivated intern to contribute to fundamental improvements on our knowledge of how cells work. Tesla is a demanding and fast-paced environment where you will work with a world-class team developing Tesla’s battery technology. In this role, you will guide the development towards reliable designs of new cell technologies. You will develop computer vision pipelines and tools to automate cell image analysis and manage critical data analytics of battery cell images. You will collaboratively address design reliability risks within program timeline and grow confidence for program level decision making. The ideal candidate will combine strong knowledge of engineering fundamentals with computer vision. Teamwork, analytical ability, organizational skills, and attention to detail are all highly valued skills. Individuals at every level carry a tremendous amount of responsibility and should look forward to learning an incredible amount on the job.
What You'll Do
- Develop backend, frontend, datasets, and tools that automate complex image analysis
- Design, train, and deploy computer vision and deep learning models for defect detection, classification, and segmentation of cell images
- Build and maintain scalable ML pipelines and containerized model deployments in production
- Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
What You'll Bring
- Currently pursuing a degree in Computer Science, Computer Engineering, Data Engineering, Data Science, or a related field
- Significant, demonstrated technical contributions towards past projects
- Hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) and modern computer vision model architectures (CNNs, Vision Transformers, and segmentation/detection models)
- Proficient use of modern AI tools (e.g., AI coding assistants, LLM/vision-language models, and agentic workflows) to dramatically accelerate development, analysis, and iteration speed
- MLOps skills across the full machine learning lifecycle — data curation and labeling, training, experiment tracking, CI/CD, model deployment, monitoring, and retraining
- Familiarity with classic image feature extraction techniques
- Proficient in Python/SQL/Git; Use of Kubernetes/Splunk/Redis/Docker is a plus
- Excellent communication skills and the ability to work collaboratively in a team environment
- Problem-solving mindset with strong attention to detail
Benefits
As a full-time Tesla Intern, you will be eligible for:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k), Employee Stock Purchase Plans, and other financial benefits
- Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Commuter benefits
- Employee discounts and perks program
Expected Compensation
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Consider before submitting an application:
This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
Internship Program at Tesla
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We provide an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
The Cell Engineering team at Tesla is looking for a highly motivated intern to contribute to fundamental improvements on our knowledge of how cells work. Tesla is a demanding and fast-paced environment where you will work with a world-class team developing Tesla’s battery technology. In this role, you will guide the development towards reliable designs of new cell technologies. You will develop computer vision pipelines and tools to automate cell image analysis and manage critical data analytics of battery cell images. You will collaboratively address design reliability risks within program timeline and grow confidence for program level decision making. The ideal candidate will combine strong knowledge of engineering fundamentals with computer vision. Teamwork, analytical ability, organizational skills, and attention to detail are all highly valued skills. Individuals at every level carry a tremendous amount of responsibility and should look forward to learning an incredible amount on the job.
What You'll Do
- Develop backend, frontend, datasets, and tools that automate complex image analysis
- Design, train, and deploy computer vision and deep learning models for defect detection, classification, and segmentation of cell images
- Build and maintain scalable ML pipelines and containerized model deployments in production
- Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
What You'll Bring
- Currently pursuing a degree in Computer Science, Computer Engineering, Data Engineering, Data Science, or a related field
- Significant, demonstrated technical contributions towards past projects
- Hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) and modern computer vision model architectures (CNNs, Vision Transformers, and segmentation/detection models)
- Proficient use of modern AI tools (e.g., AI coding assistants, LLM/vision-language models, and agentic workflows) to dramatically accelerate development, analysis, and iteration speed
- MLOps skills across the full machine learning lifecycle — data curation and labeling, training, experiment tracking, CI/CD, model deployment, monitoring, and retraining
- Familiarity with classic image feature extraction techniques
- Proficient in Python/SQL/Git; Use of Kubernetes/Splunk/Redis/Docker is a plus
- Excellent communication skills and the ability to work collaboratively in a team environment
- Problem-solving mindset with strong attention to detail
Benefits
As a full-time Tesla Intern, you will be eligible for:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k), Employee Stock Purchase Plans, and other financial benefits
- Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Commuter benefits
- Employee discounts and perks program
Expected Compensation
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Computer Vision Engineer Internship Market
Who's Hiring
Tips for Your Computer Vision Engineer Internship Search
Apply to summer roles in the fall
Large employers, particularly in tech and defense, recruit summer computer vision engineer interns the preceding fall and close cohorts months before the start date. Smaller companies and co-op programs post closer to their actual start dates, so check for openings year-round rather than waiting until spring.
Build a portfolio before you apply
Hiring teams for computer vision engineer interns evaluate project work, not job history. Complete two or three documented projects, commit clean code to a public repository, and write up what problem you solved and how. A strong GitHub profile or project write-up gives recruiters something concrete to assess when your resume is light on experience.
Work your campus network and apply directly
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 appear publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you can reach with a single job-search effort.
Practice your technical screen out loud
Computer vision engineer intern interviews typically include a coding screen covering data structures, algorithms, and applied machine learning or image processing problems. Practice solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the correct answer.
Target structured internship programs early
Larger employers in robotics, autonomous systems, and computer vision research run cohort or university-partner programs designed to train candidates new to applied vision work. These programs recruit in the first wave of hiring each cycle and fill fast, so identify the ones that fit your background and submit applications as soon as they open.
Set your work-type filter before you start
On-site roles are 67% of the computer vision engineer internships listed here. Decide what you can realistically commit to, whether on-site, hybrid, or remote, before you start reviewing listings. Filtering by location and work type upfront means you spend time on roles you can actually accept.
Computer Vision Engineer Internships: Frequently Asked Questions
How do I get a computer vision engineer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. A portfolio with documented computer vision projects, linked code repositories, and clear write-ups of your methodology gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a computer vision engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for computer vision engineer interns is consistent delivery on real project work, available headcount on the team, and understanding the return-offer timeline before your internship ends. Position for one by treating every assignment seriously without counting on an offer materializing.
When should I apply for computer vision engineer internships?
Earlier than most expect. Large tech and defense employers recruit summer interns the preceding fall, often closing cohorts before spring semester begins. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking regularly and applying as soon as a role fits your background is the most reliable approach.
Are computer vision engineer internships paid?
Most professional computer vision engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, listings show it directly so you can factor it into your decision without having to ask upfront.
What should a computer vision engineer internship resume include?
Lead with two or three complete, documented projects rather than work history. For each, name the tools and frameworks used, the problem you solved, and link to the code repository or published write-up so reviewers can assess your actual work. Add relevant coursework in computer vision, machine learning, and linear algebra, and keep the whole document to one page.
Are there remote computer vision engineer internships?
Yes. Remote and hybrid roles make up 33% of the computer vision engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants nationally, so apply early and filter by work type to see available options before they close.
Can international students get computer vision 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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