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Director Machine Learning Jobs in Virginia (NOW HIRING)

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ...

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... core machine learning models such as vehicle pricing, personalized recommender on carmax.com, ad ...

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Director Machine Learning information

See Virginia salary details

$35.7K

$91.1K

$139.8K

How much do director machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for director machine learning in Virginia is $91,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $105,100.00 per year, depending on experience, location, and employer.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.
What are the most commonly searched types of Machine Learning jobs in Virginia? The most popular types of Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Director Machine Learning jobs? Cities in Virginia with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in Virginia as of May 2026, with employment types broken down into 75% Full Time, 13% Contract, and 12% Nights. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $91,144 per year, or $43.8 per hour.

Intern - Applications, AI and Machine Learning (Fall 2026) (ET26021)

TMEIC Corporation Americas

Roanoke, VA โ€ข On-site

Temporary

Posted 5 days ago


Job description

Job # ET26021
Job Title Intern - Applications, AI and Machine Learning
Office Location Roanoke, VA preferred
Business/Department Energy and Infrastructure Solutions / Operations
Sales Territory, if applicable
General Role Description
Provide software design support for data analytics and technical support for business data solutions for information technology projects that meet client needs and fulfill project requirements
Role Accountabilities
- Gather pertinent information from authorized sources to assess project requirements as related to assigned scope of work
- Create and document computer-based software modules to meet functionality and work progress targets, as directed, at prescribed design checkpoints
- Recommend improvements to test procedures to better identify where software does not meet all project requirements for
assigned scope of work
- Design, build, and deploy artificial intelligence/machine learning systems and applications that solve complex business problems
- Develop dashboards based on business requirements following industry best practices and approved methodologies
- Identify key trends and patterns via analysis of internal and external data associated with the performance of the company
and report to manager
- Design, implement, test, deploy and document system configurations including data analytics structures, visualizations
and dashboards to meet project requirements
- Verify data accuracy, quality and integrity when sourcing and curating data from the Company's business systems into data
models
- Provide technical consulting to users regarding applications and development
- Ensure completion of assignments within the defined scope, quality, and time
- Provide regular, accurate and considered status reports to parties deemed appropriate to the situation
General Employee Accountabilities
- Bring full effort to bear on tasks assigned by manager
- Give manager best advice
- Give earliest notice when work cannot be delivered as specified
- Cooperate and collaborate with peers and interact cross-organizationally as specified by manager
- Exemplify Company Core Values: Integrity, Client Focus, Team Orientation, and Personal Commitment
- Comply with all Company policies, practices, and procedures and all regulations and laws
- Recommend viable improvements proactively
- Ensure effective utilization of business tools and processes
Requirements
Minimum Qualifications
  • High school diploma
  • Enrolled in Bachelor of Science in Computer Science, Data Science or Mathematics program, or related field, with related coursework
  • Classes, labs and projects with concentration in some combination of data analysis, data analytics structures, data preparation, ETL processes or data visualization
  • Demonstrated problem solving skills
  • Demonstrated successful working relationships with others in educational or employment setting
  • Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and communication skills
  • Proficiency in MS Office suite
  • Availability to travel domestically, up to 5%, sometimes with limited notice
  • Visa sponsorship not available for this position
  • This is not a benefits eligible position

Preferred Qualifications
- Bachelor of Science in Computer Science, Data Science or Mathematics
- Enrolled in Master of Science in Computer Science, Data Science or Mathematics
- Working knowledge of Oracle data analytics tools
- Work experience as a research assistant, intern, or co-op in the above areas
Link to TMEIC Corporation Americas website: https://www.tmeic.com/To be considered an applicant for any available positions, individuals must complete an online job application for each posting. A resume may be attached to the online application but is not considered a substitute for the information in the application. Applications will be considered only for the specific position for which the application is submitted.
EEO/AA/M/F/Vet/Disability Employer