AI ML Engineer Jobs
AI ML Engineer jobs are open across technology, healthcare, financial services, and defense, from entry-level to staff and principal, 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 Engineer Jobs by Experience Level
Top Cities Hiring AI ML Engineers
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Find AI ML Engineer JobsAI ML Engineer Job Market
Who's Hiring
- CVS Health50
- Apple18
- JPMorganChase16
- Amazon Web Services13
- GEICO9
Top Industries Hiring
- Technology & Software26
- Insurance17
- Banking & Financial Services15
- Electronics & Hardware13
- Investment & Asset Management7
What Employers Look For
The qualifications that appear most often in AI ML engineer jobs.
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Strong foundation in statistics, linear algebra, and probability theory
- Familiarity with MLOps tools and platforms including Kubeflow, MLflow, or SageMaker
- Experience working with large datasets using SQL, Spark, or distributed computing frameworks
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
Tips for Your AI ML Engineer Job Search
Tailor your resume to each stack
Recruiters scan for specific frameworks like PyTorch, TensorFlow, or JAX before reading anything else. Match the exact tool names listed in the job description, and call out model types you've trained or fine-tuned rather than listing ML as a general skill.
Show inference costs, not just accuracy
Most job descriptions ask for production ML experience. Quantify latency improvements, model compression ratios, or infrastructure cost reductions you've driven. Accuracy metrics alone don't signal you've shipped a model that runs reliably at scale.
Target openings by model domain, not job title
Titles vary wildly across companies. Search for the domain you work in, like recommendation systems, time-series forecasting, or LLM fine-tuning, in addition to the job title. You'll surface relevant roles that use different naming conventions.
Apply early to roles that fit
Migrate Mate lists ai ml engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for ML pipelines
Most ai ml engineer interviews include a round where you design a full ML system end to end. Practice walking through data ingestion, feature engineering, training infrastructure, model serving, and monitoring before you get on the call.
Negotiate on compute budget, not just compensation
When you reach the offer stage, ask about GPU or TPU access, cloud credits, and whether the team uses managed services or builds infrastructure internally. These details affect your day-to-day work and your ability to ship, and they're fully negotiable.
AI ML Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai ml engineers?
The companies hiring the most ai ml engineers right now include CVS Health, Apple, and JPMorganChase, 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 companies building large-scale recommendation systems, generative AI products, and enterprise ML platforms.
How many ai ml engineer jobs are remote?
About 66% of ai ml engineer openings are fully remote or hybrid as of September 2026, making it one of the more flexible engineering roles available. Research and applied science positions tend to offer the most remote flexibility, while roles tied to real-time inference infrastructure or on-premise hardware more often require on-site presence.
How do you become an ai ml engineer?
Build a foundation in Python, linear algebra, and statistics, then work through core ML concepts using publicly available courses and datasets. Develop hands-on projects that go beyond training a model, covering feature pipelines, evaluation, and deployment. Contribute to open-source ML projects or Kaggle competitions to build a visible portfolio, then apply to roles that match your domain focus.
Can you get an ai ml engineer job with little or no experience?
Yes, but you need a portfolio that demonstrates you can move a model from experiment to production. Build end-to-end projects that include data preprocessing, model selection, evaluation, and a deployed endpoint. Entry-level roles and ML engineering apprenticeships at product companies are the most accessible starting points for candidates without formal industry experience.
What does the ai ml engineer interview process look like?
Most ai ml engineer interview processes include a recruiter screen, a take-home or live coding round focused on Python and data manipulation, an ML system design round where you architect a full pipeline, and a behavioral round. Senior roles often add a research presentation or a deep-dive into a past project you've shipped, with questions on trade-offs and production challenges.
Where can I find and apply to ai ml engineer jobs?
You can find and apply to ai ml engineer jobs on Migrate Mate, which lists current openings from companies across the United States. Search for roles that match your specialization and experience level, then apply directly to each listing that fits.
See All 342+ AI ML Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs