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Director Machine Learning Jobs in Washington, DC

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

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Showing results 1-20

Director Machine Learning information

See Washington, DC salary details

$41K

$104.6K

$160.4K

How much do director machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for director machine learning in Washington, DC is $104,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $120,600.00 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 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 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.

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:
Director, Machine Learning Engineering

Director, Machine Learning Engineering

Geico

Bethesda, MD

$150K - $300K/yr

Full-time

Posted 3 days ago


GEICO rating

8.1

Company rating: 8.1 out of 10

Based on 351 frontline employees who took The Breakroom Quiz

132nd of 260 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

Director - Runtime Intelligence & Personalization

Overview

We areseekinga strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own the vision, strategy, and delivery of intelligent runtime systems that power context-aware, personalized experiences across products and platforms.

This role sits at the intersection of AI/ML, platform engineering, and product strategy, responsible for building scalable systems thatleveragecontext, memory, and retrieval to deliver differentiated, real-time intelligence.

Key Responsibilities

Strategy & Vision

  • Define and execute the roadmap for runtime intelligence capabilities, including context building, memory systems, and RAG-based architectures

  • Translate business and customer needs into scalable, AI-powered personalization strategies

  • Partner with executive stakeholders to align runtime intelligence investments with enterprise priorities

  • Act as a thought leader in shaping next-generation personalization and AI-driven experiences

Platform & Capability Ownership

  • Lead development of core runtime capabilities:

  • Context orchestration and state management

  • Memory systems (short-term and long-term)

  • Retrieval systems (RAG, knowledge integration)

  • Personalization frameworks

  • Drive design and implementation of high-scale, low-latency systems

  • Ensure systems are secure, observable, and reliable in production environments

Observability & Optimization

  • Establish observability standards across runtime intelligence systems (latency, quality, accuracy, cost)

  • Define KPIs and metrics to evaluate system performance and business impact

  • Lead continuous optimization of runtime performance, cost, and response quality

  • Implement feedback loops for model and system improvement

Execution & Delivery

  • Oversee end-to-end delivery of runtime intelligence platforms, ensuring scalability and reliability

  • Drive cross-functional execution across engineering, data science, and product teams

  • Manage prioritization, trade-offs, and execution in a complex, fast-paced environment

Leadership & Team Development

  • Build, lead, and scale high-performing teams across engineering, ML, and platform functions

  • Develop talent strategy, including hiring, coaching, and organizational design

  • Foster a culture of innovation, accountability, and continuous improvement

  • Lead through senior managers and technical leaders to deliver outcomes at scale

Cross-Functional Collaboration

  • Partner with Product, Design, Data, and Infrastructure teams to deliver integrated solutions

  • Influence senior stakeholders and drive alignment across competing priorities

  • Communicate complex technical concepts clearly to executive and non-technical audiences

Qualifications

Required

  • 10-15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience

  • Proventrack recordbuilding and scaling distributed systems, AI platforms, or personalization systems

  • Deepexpertisein areas such as:

  • Retrieval-Augmented Generation (RAG)

  • Context and memory architectures

  • Real-time inference systems

  • Strong business acumen with the ability to translate strategy into execution

  • Demonstrated success leading large, complex, cross-functional initiatives

Preferred

  • Experience with LLMs, generative AI, and agent-based systems

  • Background in observability, experimentation frameworks, or system optimization

  • Experienceoperatingin high-scale, customer-facing environments

Core Competencies

  • Strategic Thinking & Vision

  • AI/ML & Platform Leadership

  • Operational Excellence & Execution

  • Cross-Functional Influence

  • Talent Development & Leadership

  • Data-Driven Decision Making


Annual Salary

$150,000.00 - $300,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


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

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936