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Director Machine Learning Jobs in Washington (NOW HIRING)

Showing results 41-60

Director Machine Learning information

See Washington salary details

$40.8K

$104.1K

$159.7K

How much do director machine learning jobs pay per year?

As of Aug 31, 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 cities in Washington are hiring for Director Machine Learning jobs?

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

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.

Artificial Intelligence / Machine Learning Research and Development Engineer

Penn State University

Reston, VA • On-site

$146K - $318K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

234th of 627 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
We are seeking highly motivated Research and Development Engineers to join our Research Artificial Intelligence of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor's complex problems given large sets of multivariate data.
Located in State College, PA or Reston, VA
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
  • Design and implement machine learning systems, models, and schemes
  • Research and apply state-of-the-art machine learning prototypes to sponsor specific domains
  • Search and select appropriate data sets before performing data collection and data modeling
  • Visualize data for deeper insights
  • Generate and present technical research reports and briefings
  • Perform statistical analysis in support of pattern of life and anomaly detection
  • Perform data fusion and correlation
  • Build high quality software prototypes integrated with our various research and pre-production software environments
  • Collaborate with other ARL staff and sponsors
  • Supervise the work of lower-level staff and undergraduate student
  • Perform tasks of a larger scope and lead specific tasks within the project scope

Required skills/knowledge includes:
  • Data science/algorithm development
  • Data science / Machine Learning languages to include Python
  • Research, development and implementation of machine learning models

Preferred skills/knowledge includes:
  • Active TS/SCI Clearance
  • Master's degree
  • Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
  • Working with geo-spatial data
  • Statistics, multivariable calculus, and linear algebra
  • Exploratory data analysis and visualization
  • Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI
  • Software Development tools to include Git, Docker, Kubernetes, SSH

Your work location will be fully on-site State College PA or Reston, VA. Questions related to flexible work should be directed to the hiring manager during the interview process.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R&D Engineer - Artificial Intelligence (ARL) - Principal Professional, this position requires:Bachelor's Degree - Engineering or Science19+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Artificial Intelligence (ARL) - Advanced Professional, this position requires:Bachelor's Degree - Engineering or Science5+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Artificial Intelligence (ARL) - Senior Professional, this position requires:Bachelor's Degree - Engineering or Science14+ years of relevant experienceRequired Certifications:None
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.
FOR FURTHER INFORMATION on ARL, visit our website at www.arl.psu.edu
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Notice regarding employment at the Applied Research Laboratory (ARL):Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $146,040.00 - $318,840.00. This salary range includes an adjustment based on required geographic work location.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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