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Director Machine Learning Jobs in Washington, DC

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Director, Data Sciences

Washington, DC · On-site +1

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

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Director Machine Learning information

See Washington, DC salary details

$40.8K

$104.1K

$159.7K

How much do director machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director machine learning in Washington, DC is $104,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $120,100.00 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?

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 most commonly searched types of Machine Learning jobs in Washington, DC? The most popular types of Machine Learning jobs in Washington, DC are:
What are popular job titles related to Director Machine Learning jobs in Washington, DC? For Director Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Washington, DC look for? The top searched job categories for Director Machine Learning jobs in Washington, DC are:
Director Machine Learning jobs near you

Web Application Architect 3, Machine Learning

Bloomberg Industry Group

Arlington, VA • On-site

$190K - $230K/yr

Full-time

Re-posted 16 hours ago

Job description

A senior Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions for our customers. Responsible for the design, development, integration, delivery, and support of complex ML solutions, this individual must be a self-directed professional. In addition to a depth of ML and AI knowledge they must possess excellent communication, leadership, and influencing abilities with a demonstrated ability to guide technical direction across multiple teams.

  • We'll trust you to:

    • Architect, design and develop machine learning prediction models to address business challenges, adhering to INDG best practices with integration of AWS services.

    • Collaborate with domain experts and product managers to understand business needs and map business problems to ML solutions while.

    • Learn groundbreaking research in advanced ML topics to solve complex problems quickly.

    • Act as the principal point-of-contact for ML projects and provide technical guidance and mentoring to junior team members.

    • Design and guide feature design and implementation of features for the entire team and deliver solutions for cross-team initiatives.

    • Use metrics to make data-driven decisions.

    • Write and maintain production-quality code.

    • Participate in special projects and perform other duties as assigned.

    You'll need to have:

    • Bachelor's degree in Mathematics, Statistics, Computer Science, or a related STEM field or Bachelor's degree in any subject with a Master's degree or higher in a STEM field required.

    • 5+ years of software development experience and/or commensurate skills building commercial and ML applications.

    • 5+ years' experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques.

    • Extensive experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance.

Compensation Range:

$190,000.00-$230,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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