Machine Learning Intern Jobs
Machine Learning Intern jobs are open across tech, finance, healthcare, and research institutions, from undergraduate to post-graduate seniority, 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 166+ Machine Learning Intern Jobs
Jump back to the full list of openings and apply to any machine learning intern role that fits.
Find Machine Learning Intern JobsMachine Learning Intern Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- TikTok45
- Microsoft16
- ByteDance11
- PlusAI10
- Amazon8
Top Industries Hiring
- Technology & Software66
- Artificial Intelligence21
- Electronics & Hardware15
- Media & Entertainment7
- Healthcare & Medical Services6
What Employers Look For
The qualifications that appear most often in machine learning intern jobs.
- Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Currently enrolled in or recently completed a bachelor's or master's program in computer science, statistics, or a related field
- Hands-on experience building and evaluating supervised or unsupervised machine learning models
- Familiarity with data manipulation tools including NumPy, pandas, and SQL
- Experience working with cloud platforms such as AWS, Google Cloud, or Azure for model training or deployment
- Strong mathematical foundation in linear algebra, probability, and calculus as applied to machine learning algorithms
Tips for Your Machine Learning Intern Job Search
Tailor your resume to each stack
Hiring managers scan for the exact frameworks listed in the posting. If a role names PyTorch and scikit-learn, those words need to appear in your resume under the projects or skills that used them, not buried in a generic tools list.
Lead with a project portfolio link
Most machine learning intern applicants have similar coursework. A GitHub or Kaggle link placed directly under your name separates you immediately. Include at least one end-to-end project with a clear problem statement, model choice, and result.
Apply early to roles that fit
Migrate Mate lists machine learning intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by team type before applying
Applied research teams, product ML teams, and data engineering teams all post machine learning intern roles but expect different work. Read the job description for clues like 'production models' versus 'research prototypes' and target the type that matches what you want to build.
Prepare for a take-home coding screen
Most machine learning intern interview pipelines include a take-home dataset problem before any live technical round. Practice scoping a solution, documenting your reasoning, and explaining tradeoffs in writing, since that writeup is often weighted as heavily as the model output.
Follow up with your technical point of contact
After a final-round interview, send a short note to the technical interviewer referencing one specific problem you discussed. This signals genuine interest and keeps your name attached to the work, not just the HR thread.
Machine Learning Intern Jobs: Frequently Asked Questions
Which companies are hiring the most machine learning interns?
The companies hiring the most machine learning interns right now include TikTok, Microsoft, and ByteDance, with the largest share of openings in California, Washington, and Massachusetts, based on current listings on Migrate Mate as of June 2026. Postings shift frequently, so checking current listings gives you the most accurate picture of where demand is concentrated.
How many machine learning intern jobs are remote?
About 13% of machine learning intern openings are fully remote or hybrid as of June 2026, reflecting strong demand for distributed research and applied modeling talent. Sub-areas like natural language processing and recommendation systems tend to have the highest share of remote-eligible roles, while computer vision and hardware-adjacent work skews more toward on-site labs.
How do you become a machine learning intern?
Start by building a foundation in Python and core libraries like scikit-learn or PyTorch through coursework or self-directed projects. Complete at least one end-to-end project, from data cleaning through model evaluation, and publish it publicly. Apply to internship postings that match your current skill level, and be prepared for a technical screen covering both coding and applied math concepts.
Can you get a machine learning intern role with little experience?
Yes, many companies hire machine learning interns with limited professional experience if you demonstrate clear technical fundamentals and independent project work. Focus on Kaggle competitions, university research involvement, or open-source contributions to show applied ability. Roles at startups and research labs often weight potential and curiosity over a polished resume when the candidate's project work is compelling.
What does the machine learning intern interview process look like?
Most machine learning intern pipelines begin with a recruiter screen, followed by a technical phone or video round covering Python coding and basic model concepts. A take-home assignment involving a real dataset is common next, after which shortlisted candidates complete a final round of interviews covering model design decisions, math foundations, and a discussion of their submitted work.
Where can I find and apply to machine learning intern jobs?
You can find and apply to machine learning intern jobs on Migrate Mate, which lists current openings from across the United States. Find roles that fit your skills and target industry from the listings available, then apply directly to each one that matches what you're looking for.
See All 166+ Machine Learning Intern Jobs
Jump back to the full list of openings and apply to any machine learning intern role that fits.
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