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

JP Morgan Chase

Applied AI/ML Lead - Payments

Seattle, WA · On-site

  • Medical

  • Retirement

As a Vice President, Applied AI and Machine Learning Lead at JPMorganChase within Payments ... government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and ...

Qualtrics

Applied Scientist II

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Qualtrics

Staff Applied Scientist

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Qualtrics

Staff Applied Scientist

Seattle, WA

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 ...

Amazon

Senior Applied Scientist , Alexa AI Aurora

Bellevue, WA · On-site

$103K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application ... products or government speech projects) - Usage of Generative AI tools to enhance workflow ...

Amazon

Applied Science Manager, Healthcare AI

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

BASIC QUALIFICATIONS - 2+ years of scientists or machine learning engineers management experience ... government speech projects) as academic or professional work Amazon is an equal opportunity ...

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

We are looking for a Senior Applied Scientist to develop and ship machine learning innovations ... Ability to meet Microsoft, customer and/or government security screening requirements are required ...

Amazon

Senior Applied Scientist, Sponsored Products

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and machine learning - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects ...

Microsoft

Software Engineering - CTJ - Poly

Redmond, WA · On-site

We build foundational services that power Azure Machine Learning, Azure AI Services, Azure OpenAI ... S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based ...

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Showing results 21-40

All JobsMachine Learning Government JobsMachine Learning Government Jobs in Seattle, WA

Machine Learning Government information

See Seattle, WA salary details

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How much do machine learning government jobs pay per hour?

As of Aug 15, 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 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.

What is a machine learning government?

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 are popular job titles related to Machine Learning Government jobs in Seattle, WA?

For Machine Learning Government jobs in Seattle, WA, the most frequently searched job titles are:

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 Government jobs near you
Infographic showing various Machine Learning Government job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,020 per year, or $26 per hour.

Applied AI/ML Lead - Payments

JPMorgan Chase & Co.

Seattle, WA • On-site

Other

Medical, Retirement

Re-posted 6 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


Are you passionate about harnessing the power of artificial intelligence and machine learning to solve real-world challenges? At JPMorganChase, we're transforming the way payments work in the Commercial & Investment Bank by leveraging cutting-edge document extraction and natural language processing (NLP) technologies. As a Vice President and Applied AI/ML Lead, you'll play a pivotal role in building innovative solutions that enhance trust, safety, and operational efficiency for one of the world's leading financial institutions.
As a Vice President, Applied AI and Machine Learning Lead at JPMorganChase within Payments Technology in the Commercial & Investment Bank, you will lead the delivery of document extraction and natural language processing capabilities that improve trust, safety, and operational effectiveness. You will own solutions end-to-end, from problem framing and data strategy to production deployment and measurement. You will remain hands-on while setting technical direction and partnering across product, engineering, data, risk, and compliance stakeholders.
Job Responsibilities
  • Own end-to-end delivery of document extraction and natural language processing solutions, from opportunity sizing and requirements through production rollout and iteration.
  • Design scalable model pipelines for document ingestion, text extraction, classification, and ranking, balancing accuracy, latency, throughput, and cost.
  • Develop and improve natural language processing algorithms and model approaches to extract entities, relationships, and signals from unstructured text and documents.
  • Define evaluation strategies and success metrics, including offline validation, error analysis, robustness testing, and controlled online measurement where appropriate.
  • Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection, and incident response to sustain reliable production performance.
  • Partner with risk and compliance stakeholders to ensure appropriate documentation, controls, explainability expectations, and audit-ready processes.
  • Drive technical decisions through design reviews, code and model reviews, and pragmatic standards that raise quality and delivery velocity.
  • Communicate tradeoffs and recommendations to senior stakeholders, translating model behavior into decision-ready business impact.

Required Qualifications, Capabilities, and Skills
  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • 5+ years of experience building and delivering applied machine learning or natural language processing solutions with measurable outcomes in production.
  • Strong programming skills in Python and experience using modern machine learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with document extraction and natural language processing techniques including text classification and information extraction.
  • Experience designing data-driven solutions using SQL and distributed processing tools such as Spark or equivalent.
  • Experience deploying and operating machine learning services or pipelines in a cloud environment such as Amazon Web Services (or equivalent).
  • Demonstrated ability to translate ambiguous business problems into structured machine learning plans, including data strategy, evaluation, rollout, and operationalization.
  • Strong communication and collaboration skills, including the ability to explain technical tradeoffs to technical and non-technical partners.

Preferred Qualifications, Capabilities, and Skills
  • Experience with optical character recognition and document understanding workflows for scanned or semi-structured documents.
  • Experience with modern natural language processing architectures such as transformer-based models and techniques for optimization and efficient inference.
  • Experience with machine learning operations practices and tooling, including model registries, continuous integration and delivery for machine learning, and observability.
  • Experience with real-time or event-driven architectures supporting low-latency inference and feature generation.
  • Experience applying document extraction or natural language processing in payments, financial services, or regulated environments.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
#LI-RB3
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
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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