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Director Machine Learning Jobs in Virginia (NOW HIRING)

Venturegloballng

Director, AI Engineering

Arlington, VA · On-site

The Director will stand up the platform, hire and lead a team of senior AI engineers and machine learning engineers, and partner closely with Data Engineering, Data Science, and business stakeholders ...

CarMax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

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 ...

Carmax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

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 ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

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 ...

Carmax

Director, AI/ML Engineering

Richmond, VA

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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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Virginia

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 Aug 19, 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?

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 primary responsibilities and challenges faced by a director 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 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.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 are popular job titles related to Director Machine Learning jobs in Virginia?

For Director Machine Learning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Virginia look for?

The top searched job categories for Director 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:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,144 per year, or $43.8 per hour.

Intern - Applications, AI and Machine Learning (Spring 2027) (ET26075)

TMEIC Corporation Americas

Roanoke, VA • On-site

Temporary

Posted 7 days ago

Job description

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 clients, suppliers, and other internal and external contacts
  • Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and communication skills
  • Demonstrated continuous improvement in areas of responsibility
  • 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.

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