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Director Machine Learning Jobs in Washington (NOW HIRING)

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Director Machine Learning information

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$40.8K

$104.1K

$159.7K

How much do director machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for director machine learning in Washington 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 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 Washington?

The most popular types of Machine Learning jobs in Washington are:

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

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

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

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

What cities in Washington are hiring for Director Machine Learning jobs?

Cities in Washington with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $104,122 per year, or $50.1 per hour.

Director of Machine Learning & 3D Reconstruction

Quidient

Columbia, MD • On-site

$200K - $270K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago

Job description

Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world's great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything. Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First.
Overview
Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning improvements across our Generalized Scene Reconstruction Platform. You will own the ML engineering function within our Product Development group, driving quality improvements in our 3D scene reconstruction pipeline, while building and managing a high-performing team of engineers and applied scientists.
This is a leadership-first role. You will manage cross-functional workstreams across the Applications & API, Platform, and Advanced Product Development teams. You will translate technical tradeoffs into delivery decisions and contribute meaningfully to the codebase where your domain expertise drives the most value. You will ship production ML into a system already in customers' hands. This position is full-time, hybrid, and reports to Quidient's Director of Software Engineering.
What You'll Do
ML & Reconstruction Quality
  • Drive ML-driven quality improvements across the production 3D scene reconstruction pipeline, including panel geometry, background reconstruction, and output fidelity.
  • Own model selection, deployment, inference optimization, and operational ownership of ML systems in production.
  • Evaluate and apply traditional ML and applied deep learning techniques to improve reconstruction quality; understand when each approach is appropriate.
  • Review and contribute to the production codebase, evaluate tradeoffs, identify bottlenecks, and guide technical decisions.
Team Leadership & Cross-Functional Coordination
  • Build, manage, and grow a team of ML engineers and applied scientists within the Advanced Product Development team.
  • Drive cross-functional alignment across the Applications & API and Platform teams.
  • Partner with the APD technical leads and Director of Software Engineering to scope work, resolve technical blockers, and maintain delivery velocity.
  • Operate effectively in a fast-moving startup where priorities shift; maintain focus on the highest-impact work without losing team momentum.
What You Bring
Must-Have Qualifications:
  • Master's degree in Computer Science, Electrical Engineering, or a related field; PhD preferred. Bachelor's with exceptional experience considered.
  • 7+ years of experience in ML engineering or applied research, with at least 5+ years in a people management role overseeing engineers and/or applied scientists.
  • Strong production ML expertise: model selection, deployment, inference optimization, and operational ownership. Experience spans traditional ML and applied deep learning; Not a LLM-focused role.
  • Proven ability to review, direct, and contribute to a production codebase.
  • Experience driving cross-functional alignment across engineering, research, and product stakeholders in an ambiguous, fast-moving environment.
  • Heavy experience in 3D reconstruction, computer vision, or spatial computing domains (e.g., NeRF, 3D Gaussian Splatting, SLAM, SfM, or related techniques).
  • Willingness to work in a hybrid capacity from our Technology Center in Columbia, Maryland, or willing to relocate.
  • This position is not eligible for H-1B sponsorship.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Background in light transport, physically-based rendering, or GPU-accelerated compute.
  • Experience with pose estimation, SLAM, or multi-view reconstruction
  • Track record of shipping ML in production in a latency-sensitive or hardware-constrained environment.
  • Prior experience at a deep tech startup or in a defense/government-adjacent technology context.
  • Scientist or applied researcher who has successfully transitioned into an engineering leadership role.
What We Offer
Compensation:
  • Salary Range: $200,000 - $270,000.
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA Account
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

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