ZipRecruiter

Log In

1

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

Qualtrics

Applied Scientist II

Seattle, WA · On-site

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

Applied Scientist II

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 ...

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 ...

Qualtrics

Staff Applied Scientist

Seattle, WA · On-site

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 ...

ManTech

Mechanical Engineer

Silverdale, WA · On-site

$65K - $107K/yr

Academic or professional experience with machine learning principles and their application to ... Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just ...

previous pagenext page

Showing results 21-40

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

Machine Learning Government information

See Seattle, WA salary details

$15

$25

$35

How much do machine learning government jobs pay per hour?

As of Sep 5, 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 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 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 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 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 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $54,020 per year, or $26 per hour.

Member of Technical Staff, Microsoft Robotics (Robot Learning)

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 9 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

69th of 247 rated software companies

Job description

Overview
Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced artificial intelligence (AI), cloud-enabled capabilities, and strategic technologies to help solve the world's major challenges. From accelerating scientific discovery with advanced AI tools, to pioneering breakthroughs in quantum computing, to advancing robotics and AI capabilities that drive real-world impact, joining MDQ means building the future, partnering with fast-moving innovators, and operating in a high-impact, mission-driven environment.
At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.
We are building Microsoft's platform for physical intelligence-an integrated robotics software and AI platform that brings together humans, robots, and agents through robotics AI models, innovative teaming solutions and experiences, physically grounded agentic AI workflows, trustworthy test and evaluation, and real-world customer-focused validation. Built on Microsoft's core platforms and delivered through and with a global ecosystem of partners and customers, this platform accelerates AI for the physical world and helps robotics solutions move from experimentation to reliable, scaled deployment.
We are hiring a Member of Technical Staff, Microsoft Robotics (Robot Learning) at the software engineer II level to develop, train, evaluate, and deploy machine learning models that enable robots to perceive, reason about, and act in the physical world. This engineer will work across the full robot learning stack, from data pipeline construction and model architecture experimentation through training at scale on GPU clusters to real-world deployment and evaluation on physical robot platforms. The role focuses on vision-language-action (VLA) and similar models, leveraging the breadth of frontier robot learning techniques and technologies (via, e.g., imitation learning, reinforcement learning), and other approaches that translate AI capabilities into reliable, generalizable robot behaviors for manipulation, navigation, and human-robot collaboration tasks.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#MicrosoftRobotics #MDQ
Responsibilities
  • Develop and train end-to-end robot learning models, including vision-language-action (VLA) family of models, imitation learning policies, and reinforcement learning agents for manipulation, locomotion, and navigation tasks.
  • Build, maintain, and optimize data pipelines for robot learning, including collection infrastructure for teleoperation demonstrations, data preprocessing, augmentation, quality filtering, and dataset versioning.
  • Train machine learning and deep learning models on GPU computing clusters, implementing distributed training, hyperparameter optimization, curriculum learning, and training infrastructure automation.
  • Deploy trained models to physical robot platforms, conducting real-world evaluation, debugging sim-to-real transfer issues, and iterating on model performance based on deployment feedback.
  • Implement and maintain evaluation frameworks for robot learning models, including standardized task benchmarks, success rate tracking, generalization testing across objects and environments, and regression detection.
  • Collaborate with robotics researchers, simulation engineers, and platform engineers to improve the end-to-end model development lifecycle, from data collection through deployment and monitoring.
  • Write production-quality code in Python (including NumPy, PyTorch, JAX) that is well-tested, maintainable, and extensible, adhering to team coding standards and best practices.
  • Review code and technical designs, providing feedback to develop other engineers' skills and drive adherence to coding patterns, security practices, and engineering excellence standards.
  • Stay current with state-of-the-art research in robot learning, foundation models for robotics, and physical AI, evaluating new model technologies and techniques for adoption and integration into the platform.
  • Contribute to internal knowledge sharing through technical documentation, brown bag sessions, blog posts, and mentoring of team members.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Other Requirements:
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings
    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience in end-to-end robot learning, including imitation learning, reinforcement learning, or vision-language-action model training and deployment on physical robots.
  • Proficiency in Python with deep experience in PyTorch, JAX, or TensorFlow for training and deploying deep learning models.
  • Experience with robot learning data pipelines, including teleoperation data collection, data preprocessing, augmentation, and quality curation for model training.
  • Hands-on experience deploying learned policies on physical robot platforms, debugging sim-to-real transfer challenges, and evaluating model performance in real-world settings.
  • Familiarity with robotics middleware (ROS/ROS2), robot control interfaces, and sensor processing for perception-action loops.
  • Track record of following state-of-the-art research in robot learning, foundation models, and physical AI, e.g., familiarity with latest leading robotics models (open- and closed-source), and emerging technologies across academia and robotics research labs.
  • Experience with distributed training on GPU clusters, including familiarity with Azure Machine Learning, Kubernetes, or equivalent infrastructure.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

FacebookTwitter

View All Microsoft Jobs

Apply