AI ML Intern Jobs
AI ML Intern jobs are open across technology, healthcare, finance, and research institutions, at levels from undergraduate to recent graduate, with specializations in computer vision, natural language processing, and predictive modeling. See the openings below and apply to the ones that match your experience.
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If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Job Description
If you are passionate about enabling transformative AI capabilities at enterprise scale and thrive at the intersection of technology, strategy, and business impact, we invite you to join WGU as a Senior AI / ML Product Manager. In this role, you will help shape and deliver the platforms, governance, and capabilities that empower teams across the organization to safely and effectively leverage artificial intelligence and machine learning.You will partner closely with engineering, design, data, and business stakeholders to define product strategy, prioritize investments, and deliver measurable outcomes that advance organizational goals. This is an opportunity to influence the future of AI enablement in a mission-driven organization while working on complex, high-impact challenges.
What You'll Do
- Define and execute product strategies and roadmaps that enable enterprise-wide AI and machine learning capabilities.
- Partner with engineering, UX, data, and business stakeholders to identify opportunities, prioritize investments, and deliver customer value.
- Lead discovery efforts to deeply understand user needs, business objectives, and technical constraints.
- Drive outcome-based product management practices, establishing success metrics and using data to inform decision-making.
- Manage prioritization, roadmap planning, and tradeoff decisions across competing business and technical demands.
- Collaborate with stakeholders across the organization to support AI adoption, governance, platform enablement, and operational excellence.
- Communicate product vision, progress, risks, and outcomes to leaders, including executive-level audiences.
What You'll Bring
- Bachelor's degree.
- 5+ years of professional experience, or 3+ years with a master's degree, or a doctorate or terminal degree without experience.
- 4+ years of demonstrated experience working as a software Product Manager.
- Experience working in Agile environments.
- Enterprise AI implementation experience, including AI adoption, governance, vendor evaluation, token management, cost management, access management, or related capabilities.
- Experience supporting machine learning products or platforms that deliver meaningful business outcomes.
- Experience enabling AI capabilities that are broadly adopted across an enterprise rather than supporting a single application or use case.
- Experience working with large, unstructured datasets to generate actionable insights and business value.
- Demonstrated ability to articulate measurable business impact, including efficiency gains, operational improvements, customer value, or revenue impact.
- Excellent presentation, written, and verbal communication skills.
- Strong passion for exploring and understanding customer needs.
- Natural leadership instincts with a positive team-building approach.
- Demonstrated ability to define product strategy, prioritize work, and deliver measurable business outcomes.
- Experience partnering with cross-functional teams including engineering, design, data, and business stakeholders.
- Ability to measure product health and leverage data to drive prioritization and product decisions.
- Experience influencing senior leaders and executive stakeholders and driving cross-functional alignment.
Bonus Points
- Experience in higher education or education technology.
- Broad exposure to enterprise platforms, developer tooling, data platforms, identity and access management, enterprise payments, or related technical product domains.
Experience in Lieu of Education
What to Expect
- Introductory call
- Onsite interview with Hiring Manager
- Technical video interview
- Leadership interview
Work Location
Visa Sponsorship
Travel Requirement
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Job Description
If you are passionate about enabling transformative AI capabilities at enterprise scale and thrive at the intersection of technology, strategy, and business impact, we invite you to join WGU as a Senior AI / ML Product Manager. In this role, you will help shape and deliver the platforms, governance, and capabilities that empower teams across the organization to safely and effectively leverage artificial intelligence and machine learning.You will partner closely with engineering, design, data, and business stakeholders to define product strategy, prioritize investments, and deliver measurable outcomes that advance organizational goals. This is an opportunity to influence the future of AI enablement in a mission-driven organization while working on complex, high-impact challenges.
What You'll Do
- Define and execute product strategies and roadmaps that enable enterprise-wide AI and machine learning capabilities.
- Partner with engineering, UX, data, and business stakeholders to identify opportunities, prioritize investments, and deliver customer value.
- Lead discovery efforts to deeply understand user needs, business objectives, and technical constraints.
- Drive outcome-based product management practices, establishing success metrics and using data to inform decision-making.
- Manage prioritization, roadmap planning, and tradeoff decisions across competing business and technical demands.
- Collaborate with stakeholders across the organization to support AI adoption, governance, platform enablement, and operational excellence.
- Communicate product vision, progress, risks, and outcomes to leaders, including executive-level audiences.
What You'll Bring
- Bachelor's degree.
- 5+ years of professional experience, or 3+ years with a master's degree, or a doctorate or terminal degree without experience.
- 4+ years of demonstrated experience working as a software Product Manager.
- Experience working in Agile environments.
- Enterprise AI implementation experience, including AI adoption, governance, vendor evaluation, token management, cost management, access management, or related capabilities.
- Experience supporting machine learning products or platforms that deliver meaningful business outcomes.
- Experience enabling AI capabilities that are broadly adopted across an enterprise rather than supporting a single application or use case.
- Experience working with large, unstructured datasets to generate actionable insights and business value.
- Demonstrated ability to articulate measurable business impact, including efficiency gains, operational improvements, customer value, or revenue impact.
- Excellent presentation, written, and verbal communication skills.
- Strong passion for exploring and understanding customer needs.
- Natural leadership instincts with a positive team-building approach.
- Demonstrated ability to define product strategy, prioritize work, and deliver measurable business outcomes.
- Experience partnering with cross-functional teams including engineering, design, data, and business stakeholders.
- Ability to measure product health and leverage data to drive prioritization and product decisions.
- Experience influencing senior leaders and executive stakeholders and driving cross-functional alignment.
Bonus Points
- Experience in higher education or education technology.
- Broad exposure to enterprise platforms, developer tooling, data platforms, identity and access management, enterprise payments, or related technical product domains.
Experience in Lieu of Education
What to Expect
- Introductory call
- Onsite interview with Hiring Manager
- Technical video interview
- Leadership interview
Work Location
Visa Sponsorship
Travel Requirement
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
AI ML Intern Jobs by Experience Level
Top Cities Hiring AI ML Interns
Explore AI ML intern openings in the cities hiring most right now.
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Who's Hiring
- CVS Health50
- JPMorganChase15
- Amazon Web Services10
- Optum5
- General Motors5
Top Industries Hiring
- Technology & Software15
- Banking & Financial Services12
- Electronics & Hardware8
- Insurance7
- Automotive5
What Employers Look For
The qualifications that appear most often in AI ML intern jobs.
- Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn
- Current enrollment in or recent completion of a bachelor's or master's degree in computer science, data science, or a related field
- Experience building and evaluating supervised or unsupervised machine learning models
- Solid grounding in linear algebra, probability, and statistics as applied to model development
- Ability to work with structured and unstructured datasets using tools like pandas, NumPy, or SQL
- Familiarity with version control using Git and experience sharing reproducible code or notebooks
Tips for Your AI ML Intern Job Search
Tailor your resume to each posting
AI ML intern job descriptions vary sharply between teams. One role wants PyTorch and transformer architectures, another wants scikit-learn and tabular data pipelines. Swap your highlighted tools and project descriptions to mirror the exact stack each posting names.
Showcase a project with real data
Hiring managers for AI ML intern roles want proof you've moved beyond tutorials. Include at least one project trained on a real or public dataset, with a GitHub link showing your data prep, model training, and evaluation steps laid out clearly.
Target teams, not just company names
Large companies often have dozens of ML teams hiring simultaneously. Search for the specific team or product area, such as recommendation systems, fraud detection, or computer vision, so your application materials speak directly to that team's problems.
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 on fundamentals
Most AI ML intern interviews include a session testing probability, linear algebra, and basic ML concepts alongside coding. Review gradient descent, bias-variance tradeoff, and cross-validation so you can explain the math, not just run the library call.
Follow up with a specific question after interviews
After your technical interview, send a brief follow-up that references one problem or dataset discussed in the session. It signals genuine curiosity about the team's work and keeps your application distinct from candidates who send only a generic thank-you.
AI ML Intern Jobs: Frequently Asked Questions
Which companies are hiring the most ai ml interns?
The most active employers for ai ml interns right now are CVS Health, JPMorganChase, and Amazon Web Services, and the most openings are in California, Texas, and New York, based on current listings on Migrate Mate as of September 2026. Roles are concentrated in technology and research-intensive industries, though healthcare and financial services teams are hiring steadily as well.
How many ai ml intern jobs are remote?
About 60% of ai ml intern openings are fully remote or hybrid as of September 2026, which is higher than average for internships overall. Sub-areas like NLP research, data labeling pipelines, and model evaluation tend to offer the most remote flexibility, while computer vision and robotics roles are more likely to require on-site access to hardware or specialized equipment.
How do you become a ai ml intern?
Start by building a foundation in Python and core ML libraries through coursework or self-study, then apply that knowledge to a complete project you can share publicly. Pursue coursework in statistics and linear algebra to handle technical interview questions confidently. Once your resume includes at least one end-to-end project, apply to openings that match your current skill set and state your availability clearly.
Can you get an ai ml intern job with little or no experience?
You can land an ai ml intern role without prior industry experience if your resume shows a completed hands-on project using a real or public dataset. Recruiters for intern roles expect limited professional history, so a well-documented Jupyter notebook, a Kaggle competition entry, or a school research project with clear results carries real weight. Targeting smaller companies or research labs often lowers the bar further.
What does the ai ml intern interview process look like?
Most AI ML intern processes begin with a recruiter call, followed by a technical screen covering Python coding and ML fundamentals such as loss functions, regularization, and model evaluation metrics. A take-home assignment or live coding session often comes next, asking you to build or debug a model on a provided dataset. Final rounds typically involve a conversation with the team about your past projects and how you approach problem decomposition.
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. Search for roles that match your skills and preferred location, then apply directly to each listing that fits. New positions are added regularly, so checking back often gives you the best chance of catching freshly posted openings.
See All 206+ AI ML Intern Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI ML Intern Jobs