AI ML Intern Jobs
AI ML Intern jobs are open across tech, healthcare, finance, and research institutions, from undergraduate and graduate-level roles to pre-fulltime conversion positions, with specializations in natural language processing, computer vision, and predictive modeling. Find a role that fits from the openings below and apply directly.
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INTRODUCTION
Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
What You’ll Do
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
- Collaborate with product management and engineering groups to develop new products and features.
What You Need To Succeed
- Currently enrolled full time and pursuing a Bachelor's, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027.
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
- Proficient in one or more programming languages such as Python, Java and C.
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn.
- Strong analytical and quantitative problem-solving ability.
- Excellent communication, relationship skills and a team player.
- Ability to participate in a full-time internship between May-September.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California: Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts: Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
INTRODUCTION
Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
What You’ll Do
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
- Collaborate with product management and engineering groups to develop new products and features.
What You Need To Succeed
- Currently enrolled full time and pursuing a Bachelor's, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027.
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
- Proficient in one or more programming languages such as Python, Java and C.
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn.
- Strong analytical and quantitative problem-solving ability.
- Excellent communication, relationship skills and a team player.
- Ability to participate in a full-time internship between May-September.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California: Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts: Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See All 160+ AI ML Intern Jobs
Jump back to the full list of openings and apply to any AI ML intern role that fits.
Find AI ML Intern JobsAI ML Intern Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- TikTok44
- Microsoft16
- ByteDance11
- PlusAI10
- Amazon8
Top Industries Hiring
- Technology & Software63
- Artificial Intelligence20
- Electronics & Hardware15
- Media & Entertainment7
- Science & Research6
What Employers Look For
The qualifications that appear most often in AI ML intern jobs.
- Proficiency in Python with experience using NumPy, pandas, and scikit-learn
- Hands-on experience building or training models in PyTorch or TensorFlow
- Currently enrolled in a bachelor's or master's program in computer science, statistics, or a related field
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Experience with version control using Git and collaborative development workflows
- Ability to communicate model results and methodology clearly to both technical and non-technical stakeholders
Tips for Your AI ML Intern Job Search
Tailor your resume to the stack
Hiring managers scan for specific frameworks first. If the listing mentions PyTorch, make sure PyTorch appears in your skills section and at least one project bullet. Swapping out a generic 'deep learning' line for the exact tool takes two minutes and meaningfully improves your chances.
Lead with a project, not coursework
Most AI ML intern candidates list the same courses. A GitHub repo, a Kaggle competition finish, or a research poster gives reviewers something concrete to evaluate. Put your strongest project above your education line so it's the first thing a recruiter sees.
Filter openings by research area, not just title
The same intern role gets posted under five different titles. Search by sub-domain terms like 'NLP intern', 'computer vision intern', or 'applied research intern' alongside 'AI ML intern' to surface listings that match your actual focus area.
Apply early to roles that fit
Migrate Mate lists ai ml intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical screen before the interview
Most AI ML intern interviews include a coding screen, a take-home dataset problem, or both before you ever speak to a hiring manager. Review numpy, pandas, and model evaluation metrics specifically, not just general algorithms, since intern screens tend to test applied data work.
Follow up with a technical detail from the interview
A follow-up email that references a specific problem you discussed, or shares a short code snippet you refined after the call, stands out far more than a generic thank-you. It signals continued interest and shows you kept thinking about their actual work.
AI ML Intern Jobs: Frequently Asked Questions
Which companies are hiring the most ai ml interns?
The companies hiring the most ai ml interns right now include TikTok, Microsoft, and ByteDance, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of June 2026. Openings tend to cluster at large tech companies, research labs, and healthcare systems running active data science programs.
How many ai ml intern jobs are remote?
About 13% of ai ml intern openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible intern categories in tech. Roles focused on NLP research and data pipeline work tend to be the most remote-friendly, while positions involving hardware integration or lab-based model testing are more likely to require on-site presence.
How do you become an ai ml intern?
Start by building a foundation in Python and core machine learning libraries, then complete at least one end-to-end project you can show publicly, such as a trained model on a real dataset with documented results. Apply to roles that match your technical depth, whether that's applied engineering or research-oriented work, and be ready to walk through your code and explain your design choices in a technical screen.
Can you get an ai ml intern role with little or no experience?
Yes, many ai ml intern roles are designed for students with limited professional experience, but you still need demonstrated technical ability. Completing a Kaggle competition, contributing to an open-source ML project, or publishing a well-documented GitHub repo showing a trained model with evaluation results can substitute effectively for prior internship or work history when applying.
What does the ai ml intern interview process look like?
Most ai ml intern interviews follow a multi-stage process that begins with a recruiter screen, moves to a technical coding assessment covering Python and data manipulation, and then includes one or two technical interviews where you walk through a past project or solve a machine learning problem live. Some companies add a take-home assignment asking you to train and evaluate a model on a provided dataset before the final round.
Where can I find and apply to ai ml intern jobs?
You can find and apply to ai ml intern jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your technical background and focus area, then apply directly to each one that fits.
See All 160+ AI ML Intern Jobs
Jump back to the full list of openings and apply to any AI ML intern role that fits.
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