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Machine Learning Engineer Software Engineer Jobs in Federal Way, WA

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline ... Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA

$118K - $163K/yr

... software engineering or machine learning engineering, with a strong focus on AI/ML applications in ... insight generation, summarization, semantic search, and prediction * Demonstrated expertise in ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

Hive

Staff Machine Learning Engineer

Seattle, WA

$200K - $300K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... This position is an individual contributor role reporting to the Sr. Director, Software Engineering.

Docusign

Senior Machine Learning Engineer

Seattle, WA · On-site

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... This position is an individual contributor role reporting to the Sr. Director, Software Engineering.

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ...

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Showing results 21-40

All JobsMachine Learning Engineer Software Engineer JobsMachine Learning Engineer Software Engineer Jobs in Federal Way, WA

Machine Learning Engineer Software Engineer information

See Federal Way, WA salary details

$70.9K

$164.7K

$229.5K

How much do machine learning engineer software engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer software engineer in Federal Way, WA is $164,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,000.00 and $193,200.00 per year, depending on experience, location, and employer.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What job categories do people searching Machine Learning Engineer Software Engineer jobs in Federal Way, WA look for?

The top searched job categories for Machine Learning Engineer Software Engineer jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Machine Learning Engineer Software Engineer jobs?

Cities near Federal Way, WA with the most Machine Learning Engineer Software Engineer job openings:

Machine Learning Engineer Software Engineer jobs near you
Infographic showing various Machine Learning Engineer Software Engineer job openings in Federal Way, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $164,745 per year, or $79.2 per hour.

Senior Machine Learning Engineer

Qualtrics

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Re-posted 5 days 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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