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Director Machine Learning Jobs in Virginia (NOW HIRING)

Seekr

Director of Enterprise Sales

Reston, VA

The Director of Enterprise Sales will be responsible for driving enterprise growth, building and ... This role requires a strong understanding of enterprise sales strategy, AI and machine learning ...

Seekr

Director of Enterprise Sales

Reston, VA · On-site

The Director of Enterprise Sales will be responsible for driving enterprise growth, building and ... This role requires a strong understanding of enterprise sales strategy, AI and machine learning ...

CarMax, Inc.

Sr. Engineer, AI & ML

Richmond, VA · On-site

$103.70K - $142.30K/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 ...

Carmax

Sr. Engineer, AI & ML

Richmond, VA

$103.70K - $142.30K/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 ...

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$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.
More about Director Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Virginia? The most popular types of Machine Learning jobs in Virginia are:
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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 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.

Director of Enterprise Sales

Seekr

Reston, VA

Other

Posted 11 days ago

Job description

About the Opportunity

Seekr is looking for a Director of Enterprise Sales to lead the expansion of our enterprise AI platform across strategic industries and major accounts. This role is designed for a high-performing enterprise seller and team builder who thrives in complex sales environments and translates cutting-edge AI technologies into real business outcomes for large organizations.

The Director of Enterprise Sales will be responsible for driving enterprise growth, building and leading a high-performing team of Enterprise Account Executives, and establishing Seekr as the trusted AI platform for organizations navigating digital transformation. This role requires a strong understanding of enterprise sales strategy, AI and machine learning technologies, and the ability to engage executive stakeholders across technical, operational, and business leadership.

You will work closely with executive leadership, solutions architecture, product teams, and strategic partners to expand Seekr's presence within Fortune 1000 organizations across industries such as media and advertising, financial services, healthcare, industrial, pharmaceutical, transportation, and retail.

This role demands a disciplined operator capable of scaling an enterprise pipeline, executing complex deal cycles, mentoring high-performing sellers, and building repeatable go-to-market motions around Seekr's AI platform.

Responsibilities

Enterprise Revenue Leadership

  • Own enterprise revenue generation within the assigned territory and strategic accounts
  • Build, lead, and scale a high performing team of Enterprise Account Executives
  • Drive disciplined enterprise sales execution, including account planning, pipeline development, and forecasting
  • Develop and implement strategic go-to-market initiatives focused on enterprise AI adoption

Strategic Account Development

  • Engage C-level executives, technical leaders, and operational stakeholders to align Seekr solutions with enterprise transformation initiatives
  • Lead complex enterprise sales cycles involving AI platforms, machine learning workflows, and data infrastructure
  • Develop long-term account strategies to expand adoption across business units and departments

Market Expansion and Pipeline Growth

  • Identify and pursue greenfield enterprise opportunities within Seekr's targeted industries
  • Build and maintain a robust pipeline of enterprise opportunities through strategic outreach, executive engagement, and partner collaboration
  • Collaborate with marketing and communications teams to develop targeted enterprise campaigns and thought leadership initiatives

Cross-Functional Leadership

  • Work closely with solutions architecture and forward-deployed engineering teams to align technical delivery with enterprise customer needs
  • Provide market feedback to product teams to influence roadmap priorities based on enterprise demand
  • Serve as the voice of the enterprise customer inside the organization
Preferred Qualifications
  • Bachelor's degree in business, Marketing, Computer Science, Engineering, or related field, or equivalent experience
  • 8 to 12 years of experience in enterprise technology sales, with a focus on AI, data platforms, cloud infrastructure, or advanced analytics
  • 3 to 5 years of experience leading enterprise sales teams or managing strategic enterprise sellers
  • Proven track record of closing complex enterprise deals with Fortune 1000 organizations
  • Experience selling technically complex solutions such as artificial intelligence, machine learning platforms, big data analytics, or enterprise SaaS
  • Strong experience building and managing strategic partnerships with cloud providers and enterprise ecosystem partners
  • Demonstrated ability to develop enterprise account strategies and execute multi-year growth plans
  • Exceptional communication and executive presence, with the ability to translate technical AI capabilities into clear business value
  • Experience operating in fast-paced emerging technology markets and scaling new product adoption
What Success Looks Like
  • Building a scalable enterprise sales motion that consistently delivers new enterprise customers
  • Growing strategic accounts through multi department AI adoption
  • Developing a high performing enterprise sales team capable of navigating complex enterprise environments
  • Establishing Seekr as a trusted AI platform for enterprises requiring trustworthy, auditable, and explainable AI

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