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

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

From retail to government to healthcare, we're on a mission to bring humanity, connection, and ... Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

From retail to government to healthcare, we're on a mission to bring humanity, connection, and ... Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ...

Scowtt Inc

Staff Machine Learning Engineer

Seattle, WA · On-site

$190K - $250K/yr

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 ...

Scowtt Inc

Staff Machine Learning Engineer

Seattle, WA · On-site

$190K - $250K/yr

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 ...

Visa

Senior Director- Machine Learning

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and government entities across more than 200 countries and territories, dedicated to uplifting ... Experience with Generative AI and Machine Learning is essential. Prior background in payments and ...

Deloitte

Lead Generative AI Data Engineer III

Seattle, WA

$116K - $153K/yr

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 ...

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Machine Learning Government information

See Seattle, WA salary details

$15

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$35

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.

Senior Machine Learning Engineer

Qualtrics

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Re-posted 12 hours ago

Job description

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.
When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that's work worth doing.
 
Senior Machine Learning Engineer

Why We Have This Role

We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage. You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

How You'll Find Success

  • Work in a supportive environment enables individual growth and achievement of team goals
  • Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
  • Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
  • Implement new features and optimize existing ones to delight our customers
  • Balance technical excellence with pragmatic decision-making to solve complex algorithmic challenges efficiently

How You'll Grow

  • Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
  • Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
  • Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.

Things You'll Do

  • Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
  • Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
  • Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
  • Finding quick ways to prototype and test possible solutions to large problems
  • Stay up-to-date with industry trends and academic research to evaluate new tools, frameworks, and modeling techniques.

What We're Looking For On Your Resume

  • Bachelor's degree in Computer Science or related fields.
  • 5-8 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.
  • Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
  • Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design
  • Experience with applied machine learning models and large-scale ML systems
  • Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
  • Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.

What You Should Know About This Team

  • The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services.
  • The team's goal is to accelerate Qualtrics's ML adoption by enabling every engineering team to experiment, design, build, monitor, and troubleshoot ML-powered applications with a Platform that applies reusable components, patterns, and standards/best practices.
  • Through close collaboration with product and engineering teams, we seamlessly integrate advanced intelligence into everyday user experiences.

Our Team's Favorite Perks and Benefits

  • $1800 Experience bonus to be used for an "Experience" of your choosing
  • Unlimited Sick Days
  • Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy.
The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. #hybrid
 
Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.
 
Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act
 
Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.
 
Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.
 
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