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Machine Learning Manager Jobs in Kennewick, WA (NOW HIRING)

GESA CREDIT UNION

Sr. Data Engineer

Richland, WA · On-site

$97K - $195K/yr

Under the general supervision of the Data Analytics & Governance Manager/Team Leader, the Sr. Data ... Enable and optimize data pipelines to support AI, machine learning, and advanced analytics use ...

GESA CREDIT UNION

Sr. Data Engineer

Richland, WA

$119K - $143K/yr

Under the general supervision of the Data Analytics & Governance Manager/Team Leader, the Sr. Data ... Enable and optimize data pipelines to support AI, machine learning, and advanced analytics use ...

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All JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Kennewick, WA

Machine Learning Manager information

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$51.7K

$82.8K

$119.6K

How much do machine learning manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning manager in Kennewick, WA is $82,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $93,700.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are popular job titles related to Machine Learning Manager jobs in Kennewick, WA? For Machine Learning Manager jobs in Kennewick, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Kennewick, WA look for? The top searched job categories for Machine Learning Manager jobs in Kennewick, WA are:
What cities near Kennewick, WA are hiring for Machine Learning Manager jobs? Cities near Kennewick, WA with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Kennewick, WA as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $82,810 per year, or $39.8 per hour.
Nuclear Detection and Data Scientist (National Security)

Nuclear Detection and Data Scientist (National Security)

Pacific Northwest National Laboratory

Richland, WA • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on scientific research and national security solutions. The Nuclear Detection and Data Scientist will be responsible for applying AI/ML techniques to develop detection technologies and support national and international security missions.
Responsibilities:
• Applying existing deep learning solutions to novel problems
• Fine-tuning of open-source models for CV and NLP
• Labeling and feature engineering for novel datasets
• Applying ML models to large datasets
• Reading, understanding, making comments on, and expanding state-of-the-art deep learning research
• Employ machine learning and agentic process flow expertise to develop and deploy innovative solutions
• Develop a working knowledge of software engineering best practices
• Develop machine learning software using strong Python programming skills
• Leverage problem-solving and design skills to solve challenging technical problems
• Stay current with developments in industry and academia
• Collaborate with mentor to decide directions and set goals
• Demonstrate outstanding verbal and written communication skills and the ability to work in a collaborative environment
• Be passionate and self-motivated with good time management skills
Qualifications:
Required:
• BS/BA and 5+ years of relevant work experience -OR-
• MS/MA and 3+ years of relevant work experience -OR-
• PhD with 1+ year of relevant experience
• U.S. Citizenship
• Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
• Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Preferred:
• Ph.D. in Physics, Nuclear Engineering, Computer Science, Data Science, Mathematics; will also consider candidates possessing a Ph.D. in a related field
• Excellent in programming (e.g., Python, C/C++, etc.)
• Excellent skills in writing publications
• Strong familiarity in at least one of: applied machine learning, Agentic AI, deep learning, statistics
• Background in Physics, Nuclear Engineering, Computer Science, Data Science, Mathematics or related fields
• Demonstrated creativity and highly developed problem-solving skills
• Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment
• Deep domain knowledge and willingness to grow into machine learning and AI expert for that domain
• Prior experience with deep learning frameworks
Company:
Pacific Northwest National Laboratory operates as a government research laboratory. Founded in 1965, the company is headquartered in Richland, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
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About Pacific Northwest National Laboratory

Sourced by ZipRecruiter

Pacific Northwest National Laboratory (PNNL) is a premier research institution based in Richland, Washington, US. Operated by Battelle Memorial Institute under contract to the US Department of Energy (DOE), it is one of the DOE's seventeen national laboratories. PNNL primarily specializes in fields such as environmental science, energy, nuclear science, and national security. Founded in 1965, the lab has since been committed to its core values of integrity, creativity, collaboration, impact, and courage. Their mission is "to transform the world through courageous discovery and innovation." Notable achievements include significant contributions to projects like the Human Genome Project and the development of grid-friendly appliances.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Richland, WA, US

Year founded

1965

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