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Remote Director Machine Learning Jobs in Washington, DC

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

This role involves leveraging cutting-edge technologies, including GenAI and machine learning ... Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ...

Comcast

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

BluePath Labs

AI Developer - Remote

Washington, DC · Remote

$110K - $160K/yr

Remote (occasional travel may be required) Clearance:Public Trust or able to obtain Salary: $110 ... The AI Developer will design, build, and support artificial intelligence and machine learning ...

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Build and implement machine learning models and/or predictive analytics. * Maintenance of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

BluePath Labs

AI Developer - Remote

Washington, DC · On-site +1

$110K - $160K/yr

Remote (occasional travel may be required) Clearance: Public Trust or able to obtain Salary: $110 ... The AI Developer will design, build, and support artificial intelligence and machine learning ...

BluePath Labs

AI Developer - Remote

Washington, DC · Remote

$110K - $160K/yr

Remote (occasional travel may be required)Clearance:  Public Trust or able to obtain  Salary ... and machine learning solutions that address complex business and mission challenges. The role ...

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Washington, DC

Remote Director Machine Learning information

See Washington, DC salary details

$40.8K

$104.1K

$159.7K

How much do remote director machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote 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 does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are popular job titles related to Remote Director Machine Learning jobs in Washington, DC?

For Remote Director Machine Learning jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Director Machine Learning jobs in Washington, DC look for?

The top searched job categories for Remote Director Machine Learning jobs in Washington, DC are:

Remote Director Machine Learning jobs near you

AI Software Engineer (Remote)

Knexus Research Corporation

Vienna, VA • Remote

Full-time

Re-posted 5 days ago

Job description

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.

Responsibilities

  • Collaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models.
  • Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.
  • Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.
  • Agile Development: Use agile development techniques throughout the project lifecycle.

Qualifications and Experience

  • Experience: 6-8 years of experience in software development, including design, coding, testing, and delivery.
  • Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
  • Programming Languages: Proficiency in Python is a must, experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.
  • GenAI: Experience building applications leveraging LLMs as a core component
  • Work Environment: Experience working in a small, remote team environment is preferred.
  • Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance).

Bonus Experience

  • AI/ML: Exposure to AI and/or Machine Learning technologies is a plus.
  • Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
  • Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.
  • Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL.

About Knexus

At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.

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