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Director Machine Learning Jobs in Virginia (NOW HIRING)

Sr. Engineer, AI & ML

Richmond, VA

$103K - $142K/yr

As a member of the GenAI team , you will have a direct impact on improving the performance of our business through machine learning and Generative AI system implementations that drive CarMax's iconic ...

Sr. Engineer, AI & ML

Richmond, VA ยท On-site

$103K - $142K/yr

As a member of the GenAI team, you will have a direct impact on improving the performance of our business through machine learning and Generative AI system implementations that drive CarMax's iconic ...

Sr. Engineer, AI & ML

Richmond, VA ยท On-site

$120K - $180K/yr

As a member of the GenAI team , you will have a direct impact on improving the performance of our business through machine learning and Generative AI system implementations that drive CarMax's iconic ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Build machine learning models through all phases of development, from design through training ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Build machine learning models through all phases of development, from design through training ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Build machine learning models through all phases of development, from design through training ...

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Showing results 1-20

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 Jul 10, 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 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 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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $91,144 per year, or $43.8 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Data Machines

Reston, VA โ€ข On-site

$90K - $150K/yr

Other

Posted 16 days ago


Job description

Location: On-site in Reston, VA Salary Range: $90,000-$150,000 Job Description: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. This position will be based out of our Reston, VA office with a 3 day a week onsite requirement. Responsibilities: Data Machines seeks an energetic data scientist with the desire to work with a tightly-knit team supporting the development and production of cutting-edge defense and intelligence capabilities. The ideal candidate will apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. They will provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. The candidate will design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. The ideal candidate will develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Finally, they will identify trends and problems through complex big data analysis and will maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Minimum Qualifications: * Four (4) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related field
* BS in software Engineering or at least 4 years of experience managing data science projects
* At least three (2) years of direct experience in machine learning Demonstrates knowledge of data mining methods, databases, data visualization and machine learning
* Ability to communicate analysis techniques, concepts, and products
* Ability to develop data-driven solutions, data models, and visualizations Data Bricks Certification
* Must be able to pass a background check and a drug screen
Education: * Advanced Degree (MS or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline
* Experience with open-source cloud tools (e.g. Docker, Kubernetes, OpenStack)
* Experience with public cloud (e.g. AWS, Azure) security
* Software Development Experience (any language)
* Ability to obtain a Secret clearance.