AI ML Engineering Jobs
AI ML Engineering jobs are open across technology, healthcare, finance, and manufacturing, at every level from new-grad to principal and staff, with specializations in deep learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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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 Engineering Jobs by Experience Level
Top Cities Hiring AI ML Engineerings
Explore AI ML engineering openings in the cities hiring most right now.
See All 209+ AI ML Engineering Jobs
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Find AI ML Engineering JobsAI ML Engineering Job Market
Who's Hiring
- CVS Health50
- JPMorganChase15
- Amazon Web Services10
- Apple5
- Optum5
Top Industries Hiring
- Technology & Software16
- Banking & Financial Services12
- Electronics & Hardware8
- Insurance7
- Automotive5
What Employers Look For
The qualifications that appear most often in AI ML engineering jobs.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience building, training, and deploying machine learning models in production environments
- Strong understanding of statistics, probability, and core machine learning algorithms
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Experience with data pipelines, feature engineering, and large-scale data processing tools
- Bachelor's or master's degree in computer science, mathematics, statistics, or a related field
Tips for Your AI ML Engineering Job Search
Tailor your resume to each job
AI ML engineering listings vary sharply in stack and method. Match your resume's technical section to the exact frameworks named in the posting, whether that's PyTorch, TensorFlow, JAX, or scikit-learn, so automated screening tools rank you higher before a human ever reads it.
Apply early to roles that fit
Migrate Mate lists ai ml engineering openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Lead with measurable model outcomes
Hiring managers in ai ml engineering care about impact, not methodology alone. Quantify results where you can: latency improvements, accuracy gains, or cost reductions your models produced. A percentage improvement on a production system outweighs a list of libraries you've used.
Build a public project portfolio
Many ai ml engineering roles screen candidates by asking for a GitHub or similar link before a phone screen. Post at least two end-to-end projects, including data preprocessing, training code, evaluation, and a short write-up explaining the tradeoffs you made.
Prepare for the full interview loop
AI ML engineering interviews typically combine coding rounds, ML system design, and a take-home or live modeling exercise. Practice designing scalable serving pipelines and explaining regularization or feature engineering decisions out loud, not just writing code on a whiteboard.
Negotiate with competing offers strategically
AI ML engineering is one of the few fields where counter-offers are expected. If you have multiple final-round processes running simultaneously, let each recruiter know you're actively interviewing elsewhere. Concrete timelines, not vague interest, motivate faster decisions and better offers.
AI ML Engineering Jobs: Frequently Asked Questions
Which companies are hiring the most ai ml engineerings?
The companies hiring the most ai ml engineerings right now include CVS Health, JPMorganChase, and Amazon Web Services, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in technology, healthcare, and financial services sectors.
How many ai ml engineering jobs are remote?
About 65% of ai ml engineering openings are fully remote or hybrid as of September 2026, making it one of the more remote-friendly engineering disciplines. Research-focused and NLP roles tend to have the highest share of remote flexibility, while roles requiring access to proprietary on-premise data infrastructure are more likely to be on-site.
How do you become a ai ml engineering?
Start by building a strong foundation in Python, linear algebra, calculus, and probability. Work through core machine learning concepts using structured courses or university programs, then implement projects end to end, from raw data to a deployed model. Contribute to open-source repositories or Kaggle competitions to demonstrate applied skills. Pursue a degree or practical bootcamp in computer science, data science, or statistics if you haven't already, and keep current with research papers in your area of focus.
Can I get an ai ml engineering job with little or no experience?
Entry-level ai ml engineering roles do exist, and the path in typically runs through a strong public portfolio rather than years of industry experience. Build two or three end-to-end projects covering different problem types such as classification, regression, or generative modeling, and document your design choices clearly. Internships, research assistant positions, and ML-adjacent roles in data analytics or software engineering are common stepping stones that give you production exposure before moving into a dedicated ML role.
What does the ai ml engineering interview process look like?
Most ai ml engineering interview loops include a recruiter screen, one or two coding rounds focused on data structures and algorithms, an ML fundamentals round covering topics like bias-variance tradeoff and model evaluation, and an ML system design round where you architect a scalable training or serving pipeline. Many companies also include a take-home modeling exercise or a live case study. Final rounds often involve a presentation to the team or a culture-fit conversation with senior engineers or managers.
Where can I find and apply to ai ml engineering jobs?
You can find and apply to ai ml engineering jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the available roles, find the ones that match your skills and seniority level, and apply directly to each listing from the page.
See All 209+ AI ML Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs