1

Machine Learning Government Jobs in Seattle, WA (NOW HIRING)

About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ... This employer participates in E-Verify and will provide the federal government with your Form I-9 ...

About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ... This employer participates in E-Verify and will provide the federal government with your Form I-9 ...

Active US Government security clearance. * 2+ years of experience deploying machine learning models into production environments. * 2+ years of experience working with large language models, natural ...

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems * Prepares and structures data for machine learning pipelines, feature ...

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems * Prepares and structures data for machine learning pipelines, feature ...

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems * Prepares and structures data for machine learning pipelines, feature ...

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems * Prepares and structures data for machine learning pipelines, feature ...

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems * Prepares and structures data for machine learning pipelines, feature ...

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems * Prepares and structures data for machine learning pipelines, feature ...

From retail to government to healthcare, we're on a mission to bring humanity, connection, and ... Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning ...

From retail to government to healthcare, we're on a mission to bring humanity, connection, and ... Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning ...

next page

Showing results 1-20

Machine Learning Government information

See Seattle, WA salary details

$15

$25

$35

How much do machine learning government jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for machine learning government in Seattle, WA is $25.97, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $28.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in government agencies, tech companies, or research institutions with competitive compensation packages.

Which 5 jobs will survive AI?

Machine Learning Government roles such as data analysts, AI policy specialists, cybersecurity experts, software engineers, and system administrators are likely to persist as they require complex decision-making, domain expertise, and human oversight that AI cannot fully replicate. These jobs often involve ethical considerations, strategic planning, and nuanced understanding of government operations. Continuous learning and certification in relevant tools and regulations can enhance job security in these fields.

Which 3 jobs will survive AI?

For a Machine Learning Government role, jobs that require complex problem-solving, human judgment, and ethical decision-making are likely to persist, such as policy analysts, cybersecurity specialists, and data privacy officers. These roles involve understanding nuanced societal impacts and often require specialized certifications and ongoing adaptation to new regulations. Technical skills in AI, data analysis, and critical thinking will remain valuable in these positions.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

Can you use AI in government jobs?

Machine Learning Government roles often involve applying AI technologies to improve public services, data analysis, and decision-making processes. These jobs typically require knowledge of AI tools, programming skills, and understanding of government regulations related to data privacy and security.

What is a Machine Learning Government job?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

What job categories do people searching Machine Learning Government jobs in Seattle, WA look for? The top searched job categories for Machine Learning Government jobs in Seattle, WA are:
Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning C

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning C

JPMorgan Chase & Co.

Seattle, WA • On-site

$164K - $260K/yr

Full-time

Medical, Retirement

Posted 6 hours ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description


At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Job responsibilities
  • Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
  • Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
  • Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
  • Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Required qualifications, capabilities, and skills
  • PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 3 years of industry or research experience in the field
  • Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences

Preferred qualifications, capabilities, and skills
  • Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
  • Knowledge in search/ranking or Meta Learning
  • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
  • Published research in areas of Machine Learning or Deep Learning at a major conference or journal

#MLCOE_jobs
#CDAO_CAO_jobs
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom