Machine Learning Jobs in Virginia
Machine Learning jobs in Virginia are in high demand, with active hiring concentrated in defense technology, federal contracting, and financial services, and openings at every level from entry-level data associate to senior research scientist. Northern Virginia, Richmond, and the Charlottesville corridor are the primary hiring hubs, where employers like Booz Allen Hamilton, Leidos, and Amazon Web Services maintain significant machine learning teams. The most sought-after specialties include natural language processing, computer vision, and MLOps engineering. Find a role that fits below and apply directly.
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CarMax, the way your career should be!
Position Overview
As a Sr. Engineer, AI & ML, you will play a pivotal role in designing and implementing advanced Generative AI solutions that elevate CarMax’s omni-channel customer experience. You will leverage expertise in large language models (LLMs), semantic search frameworks, and AI orchestration to deliver innovative, scalable applications. Your work will directly influence CarMax’s technology evolution, ensuring secure, high-performing AI systems that drive business impact.
Why CarMax?
At CarMax, we are the nation’s largest retailer of used cars with stores from coast to coast, and we are still growing. We’re rethinking the way people buy cars – and it’s our associates that help us do just that. We believe work should feel meaningful and rewarding, with opportunities to make an impact every day. This is where innovation meets passion – be inspired and supported to take us to the future.
Team Overview
You’ll join CarMax’s GenAI team, collaborating with engineers, product leaders, and stakeholders to build next-generation AI capabilities. This team focuses on creating enterprise-grade AI solutions that enhance customer interactions and streamline business processes through cutting-edge machine learning technologies.
Role Responsibilities
- Design, develop, and deploy Generative AI models, including LLMs and semantic search frameworks, for customer-facing solutions.
- Identify and address implementation challenges, providing creative, technically sound solutions.
- Build integrated monitoring systems to validate AI performance and ensure architecture integrity.
- Mentor engineers on best practices for Generative AI development and deployment.
- Review code for quality and adherence to clean coding standards.
- Collaborate on prompt engineering, testing, and evaluation using tools such as PromptFlow.
- Drive continuous improvement in AI architecture through innovation and stakeholder feedback.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 4+ years of experience in AI/ML, cloud computing, or systems engineering.
- Advanced proficiency in Python and scripting languages (e.g., shell scripts).
- Hands-on experience with Azure OpenAI Service and Azure AI Search.
- Expertise in LLMs, semantic search frameworks, and AI orchestration layers (e.g., Semantic Kernel).
- Experience with DevOps practices, CI/CD pipelines, and testing frameworks.
- Strong communication skills and ability to influence technical vision across teams.
Preferred Qualifications
- Master’s degree in Computer Science, Engineering, or related field.
- Experience integrating CI/CD pipelines for prompt engineering with feedback loops.
- Knowledge of advanced Generative AI development tools and frameworks for enterprise-scale applications.
Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.
Associates based in Richmond work onsite 5 days per week.
Associates based in Plano work onsite 2 days per week.
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.
About CarMax
At CarMax, we revolutionized the used car buying experience over 30 years ago by introducing transparency and integrity into the process. Our commitment to customer experience, innovation, and community has made us the nation’s largest used car retailer. With over 250 store locations and over 30,000 associates, we are proud to have been recognized as one of the Fortune 100 Best Companies to Work For® and are committed to helping our communities thrive.
As an associate, you are part of an innovative movement to empower the modern customer and drive progress. Your work fuels change—sparking ideas, overcoming challenges, and shaping what’s next. Join us in creating a better future– for our company, our customers, and the communities we call home.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
The annual salary for this position is:
$120,000.00 - $180,000.00May be eligible for bonus and equity.
Benefits:
Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.
Associates that are considered full-time hourly or commission/incentive eligible:
- To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
- For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.
Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.
For more details about benefits, please visit our CarMax Benefits website.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
CarMax, the way your career should be!
Position Overview
As a Sr. Engineer, AI & ML, you will play a pivotal role in designing and implementing advanced Generative AI solutions that elevate CarMax’s omni-channel customer experience. You will leverage expertise in large language models (LLMs), semantic search frameworks, and AI orchestration to deliver innovative, scalable applications. Your work will directly influence CarMax’s technology evolution, ensuring secure, high-performing AI systems that drive business impact.
Why CarMax?
At CarMax, we are the nation’s largest retailer of used cars with stores from coast to coast, and we are still growing. We’re rethinking the way people buy cars – and it’s our associates that help us do just that. We believe work should feel meaningful and rewarding, with opportunities to make an impact every day. This is where innovation meets passion – be inspired and supported to take us to the future.
Team Overview
You’ll join CarMax’s GenAI team, collaborating with engineers, product leaders, and stakeholders to build next-generation AI capabilities. This team focuses on creating enterprise-grade AI solutions that enhance customer interactions and streamline business processes through cutting-edge machine learning technologies.
Role Responsibilities
- Design, develop, and deploy Generative AI models, including LLMs and semantic search frameworks, for customer-facing solutions.
- Identify and address implementation challenges, providing creative, technically sound solutions.
- Build integrated monitoring systems to validate AI performance and ensure architecture integrity.
- Mentor engineers on best practices for Generative AI development and deployment.
- Review code for quality and adherence to clean coding standards.
- Collaborate on prompt engineering, testing, and evaluation using tools such as PromptFlow.
- Drive continuous improvement in AI architecture through innovation and stakeholder feedback.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 4+ years of experience in AI/ML, cloud computing, or systems engineering.
- Advanced proficiency in Python and scripting languages (e.g., shell scripts).
- Hands-on experience with Azure OpenAI Service and Azure AI Search.
- Expertise in LLMs, semantic search frameworks, and AI orchestration layers (e.g., Semantic Kernel).
- Experience with DevOps practices, CI/CD pipelines, and testing frameworks.
- Strong communication skills and ability to influence technical vision across teams.
Preferred Qualifications
- Master’s degree in Computer Science, Engineering, or related field.
- Experience integrating CI/CD pipelines for prompt engineering with feedback loops.
- Knowledge of advanced Generative AI development tools and frameworks for enterprise-scale applications.
Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.
Associates based in Richmond work onsite 5 days per week.
Associates based in Plano work onsite 2 days per week.
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.
About CarMax
At CarMax, we revolutionized the used car buying experience over 30 years ago by introducing transparency and integrity into the process. Our commitment to customer experience, innovation, and community has made us the nation’s largest used car retailer. With over 250 store locations and over 30,000 associates, we are proud to have been recognized as one of the Fortune 100 Best Companies to Work For® and are committed to helping our communities thrive.
As an associate, you are part of an innovative movement to empower the modern customer and drive progress. Your work fuels change—sparking ideas, overcoming challenges, and shaping what’s next. Join us in creating a better future– for our company, our customers, and the communities we call home.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
The annual salary for this position is:
$120,000.00 - $180,000.00May be eligible for bonus and equity.
Benefits:
Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.
Associates that are considered full-time hourly or commission/incentive eligible:
- To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
- For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.
Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.
For more details about benefits, please visit our CarMax Benefits website.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
See All 77 Machine Learning Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Machine Learning Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Capital One13
- Booz Allen Hamilton7
- SAIC5
- Information Technology Senior Management Forum5
- Amazon Web Services4
Top Industries Hiring
- Banking & Financial Services
- Technology & Software
- Energy
- Fintech
- Consulting & Professional Services
What Virginia Employers Look For
The qualifications that appear most often in machine learning jobs across Virginia.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for ML workloads
- Active or obtainable U.S. security clearance preferred by many Virginia federal contractors
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
Machine Learning Jobs in Virginia: Frequently Asked Questions
How do you become a machine learning engineer in Virginia?
Virginia does not require a state-issued license to work in machine learning. Most employers expect at minimum a bachelor's degree in computer science, mathematics, or a closely related field, with a master's degree preferred for research-focused roles. Building a portfolio of deployed models and contributing to open-source projects strengthens a candidacy significantly. Many Virginia federal contractors also require candidates to be eligible for a security clearance.
Which companies hire machine learning engineers in Virginia?
Employers hiring machine learnings in Virginia right now include Capital One, Booz Allen Hamilton, and SAIC, based on current listings on Migrate Mate as of September 2026. Virginia's dense concentration of defense contractors and federal agencies in Northern Virginia means many of these roles sit at the intersection of machine learning and national security applications.
Which Virginia cities have the most machine learning jobs?
McLean, Arlington, and Ashburn account for the largest share of machine learning openings in Virginia. Northern Virginia dominates because it is home to major federal agencies, the headquarters of large defense contractors, and Amazon's second headquarters, all of which drive sustained demand for machine learning talent across the region.
Are there remote machine learning jobs in Virginia?
Yes, and more than most fields. About 55% of machine learning openings tied to Virginia are remote or hybrid as of September 2026, reflecting the desk-based and analytical nature of the work. Research, modeling, and data pipeline roles are the most likely to offer fully remote arrangements, while positions tied to classified government programs typically require on-site presence.
How can I get hired as a machine learning engineer in Virginia with little or no experience?
The most realistic entry path is through an associate or junior data scientist role, which many Virginia employers use as a pipeline into machine learning teams. Booz Allen Hamilton and Leidos both run new graduate programs that place early-career candidates on applied AI projects. A strong GitHub portfolio demonstrating end-to-end model work, combined with a relevant certification such as AWS Machine Learning Specialty, gives candidates a concrete edge over peers with equivalent academic backgrounds.
Where can I find and apply to machine learning jobs in Virginia?
You can find and apply to machine learning jobs in Virginia on Migrate Mate, which lists current Virginia openings updated regularly. Search for roles that match your experience level and specialization, then apply directly to the ones that fit.
See All 77 Machine Learning Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Machine Learning Jobs