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Director Machine Learning Jobs in Virginia (NOW HIRING)

ADP

Learning Design & Delivery Specialist

Norfolk, VA · On-site

This rewarding role will have a direct impact on the success of ADP and our clients and associates ... We are a global leader in HR technology, offering the latest AI and machine learning-enhanced ...

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Director Machine Learning information

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$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.

Senior Advisor - Artificial Intelligence and Machine Learning

SPA

Alexandria, VA • On-site

$145K - $146K/yr

Other

Medical, Life, Retirement

Posted 4 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. Objective. Responsive. Trusted.
The AUKUS, Submarines, and Industrial Base Group (ASIG), within the Sea, Land, Air Division, provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to Director Submarine Program directorates and key stakeholders surrounding submarine platform construction. Director Submarine Program unifies submarine platform procurement activities, which includes the Columbia-class SSBN program (a Major Defense Acquisition Program and the Navy's top acquisition priority), the Virginia-class SSN program, the new SSN-X program (developing the next generation attack submarine), and the AUKUS Integration and Acquisition Office, to bring improved capabilities to our undersea forces. Analysts and Engineers supporting Director Submarine Program will continue SPA's decades of support to the SSBN force, as well as supporting oversight of cutting-edge attack submarine construction, assisting in developing the design requirements for the SSN platform of the future, and helping plan and execute new and innovative strategies to strengthen the critical submarine shipbuilding industrial base. These are high-profile, major acquisition and manufacturing programs of significant importance to the future capabilities of the US Navy in an era of renewed strategic competition.
#MC
Responsibilities
Serves as the Artificial Intelligence and Machine Learning (AI/ML) Senior Advisor to the Direct Reporting Program Manager Submarines (DRPM SUBS) providing critical support for interagency and intergovernmental decision-making. The primary objective is to provide expert advice to Senior Leaders at all levels-including but not limited to the Secretary of the Navy (SECNAV), Under Secretary of the Navy (UNSECNAV), Office of the Secretary of War (OSW), United States Navy (USN), Assistant Secretary of the Navy for Research, Development, and Acquisition (ASN RD&A), and Chief of Naval Operations (CNO), as well as their staff(s)-to accelerate the adoption and integration of AI/ML capabilities across the submarine enterprise. Additional responsibilities include:
  • Serve as the principal advisor to advise Senior Leaders at all levels including but not limited to the Secretary of the Navy, Under Secretary of the Navy, Chief of Naval Operations (CNO), the Secretary of War, Senior Leaders relevant staff members, and DRPM SUBS leadership on all AI/ML matters, translating complex technical concepts into strategic implications and actionable policy.
  • Serve as the DRPM SUBS foremost technical authority on the current and future state of AI/ML, including deep learning, generative AI, reinforcement learning, and AI assurance.
  • Provide expert guidance to major acquisition programs (PEOs) on the integration of AI/ML into weapon systems, autonomous platforms, and command-and-control systems.
  • Provide expert counsel on the global AI/ML landscape, including adversarial capabilities and intentions, to inform DoW defensive and offensive postures.
  • Develop new paradigms for the Test, Evaluation, Verification, and Validation (TEV&V) of AI-enabled systems to ensure they are robust, reliable, and secure.
  • Assess and advise on the AI-readiness of the defense industrial base and provide strategies for fostering innovation and partnership with non-traditional technology companies.

Qualifications
Required Experience:
  • Nationally or internationally recognized authority in AI/ML with a minimum of 15 years of senior-level experience leading cutting-edge research and/or large-scale application development.
  • Demonstrated success providing strategic counsel on AI/ML to C-suite, Flag Officer, Senior Executive Service (SES), or equivalent leadership in a large, complex organization (e.g., FAANG-level tech company, national lab, or major research university).
  • A portfolio of significant accomplishments, such as pioneering widely adopted AI/ML models, publishing seminal research papers, holding key patents, or leading a major AI/ML product or division.
  • Deep, technical, state-of-the-art knowledge across multiple AI/ML domains.

Desired Experience:
  • Experience as a Chief Technology Officer (CTO), Chief Scientist, or senior research fellow at a leading technology firm or research institution.
  • Experience applying AI/ML to defense, intelligence, or national security problems (e.g., ISR data analysis, autonomous navigation, cybersecurity, logistics).
  • Familiarity with the DoD acquisition process and the unique challenges of deploying software-intensive systems in a military environment.
  • Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.

Clearance:
  • Must be able to maintain a Top Secret/SCI security clearance.

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $170,000.00/Yr. - USD $190,000.00/Yr.

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