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Director Machine Learning Jobs in Ashburn, VA (NOW HIRING)

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Director Machine Learning information

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$36.8K

$94K

$144.2K

How much do director machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director machine learning in Ashburn, VA is $94,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $108,400.00 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 Ashburn, VA?

The most popular types of Machine Learning jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Director Machine Learning jobs?

Cities near Ashburn, VA with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $94,010 per year, or $45.2 per hour.

Director - Product Management, Enterprise Machine Learning Platform (McLean)

Capital One Financial

Mclean, VA • On-site

$236K - $247K/yr

Full-time

Posted 4 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

In this role, you’ll be expected to demonstrate proficiency in four key areas:

Human Centered
  • You’ll deeply immerse yourself in knowing your internal and/or external customer(s) by employing empathy and design thinking to define broad-scale solutions that provide breakthrough leverage
Business Focused
  • You’ll deeply learn the financial drivers, externalities, and points of leverage within your domain to identify new products or product enhancements that drive sustainable value for Capital One
  • You’ll promote a culture anchored in data, used to instrument products, validate outcomes, drive insights, and manage the business both tactically and strategically
Technology Driven
  • You’ll be responsible for fostering a strong agile discipline and inspiring teams to continuously improve delivery evidenced through key agility metrics
  • You’ll partner with Technology leaders to influence end-state architecture and drive secure, resilient, performant and scalable technology solutions that solve material customer and business problems
  • You’ll govern the responsible and efficient application of technology resources by assessing opportunities for reusing existing solutions, clearly defining minimum viable products, and always building with extensibility in mind
Transformational Leadership
  • You’ll establish a long‑term product portfolio strategy, informed by customer and business needs, and partner with leaders and stakeholders to regularly drive alignment, secure resources and overcome impediments
  • You’ll attract, grow, empower, and inspire top product talent as they develop and deliver on their local product strategy in an iterative, outcome‑focused and well‑managed way

As part of the Enterprise Model Platform organization at Capital One, you will lead a team of product managers to drive a product agenda for an internal platform to deploy and serve machine learning models at scale, while enabling platform stability and operational success.

We want you if you are:

  • Intellectually Curious. You’re comfortable navigating between the big ideas and executional realities to create an achievable strategic Product Vision. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.
  • Communicator & Influencer. You’re comfortable influencing a group of executives as well as communicating your product vision clearly to your associates and partners. You can be open to different communication styles and listen carefully to diverse sets of ideas.
  • Do‑er. You’re biased toward action, and are willing to make commitments and trade‑offs with other leaders to remove impediments for your team; you are a leader obsessed with delivering valuable in an iterative way focusing in minimum viable product.
  • Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You have a desire and ability to connect with our external or internal customers to fully understand their needs and build long lasting relationships.
  • You have an appetite to learn new things or new technologies all while exhibiting humbleness when exploring unknown technologies; you will seek for internal solutions before building new.
  • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You are also able to coach others and be a mentor in product development.
Basic Qualifications:
  • Bachelor’s Degree or military experience
  • At least 7 years of experience in digital product management
Preferred Qualifications:
  • Bachelor’s Degree in Computer Science or Engineering
  • MBA or Master’s degree
  • 2+ years of experience in building enterprise platforms
  • 2+ years of experience in building machine learning solutions
  • 5+ years of experience in Agile product management
  • 5+ years of experience translating business strategy and analysis into consumer facing digital products

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On‑Site): $233,100 - $266,000 for Director, Product Management

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com

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