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Artificial Intelligence Machine Learning Engineer Jobs in Federal Way, WA

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Unitytech

Machine Learning Engineer, New Grad

Bellevue, WA · On-site +1

$117K - $152K/yr

... product intelligence, machine learning pipelines, and business operations. As data volume and ... We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

... machine learning engineers. We are looking for developers who are excited about staying at the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

... machine learning engineers. We are looking for developers who are excited about staying at the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

... and generative intelligence. Primary Job Responsibilities: * Deliver high-impact AI and ML ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Director of Artificial Intelligence * Architect and develop secure, privacy-preserving, on device ...

Adobe

Principal Machine Learning Engineer

Seattle, WA · On-site

... media-intelligence layer, and deployed across new and existing Adobe surfaces and products ... We are hiring a Principal Machine Learning Engineer to serve as the technical lead for our GenAI ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$142K - $263K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the ...

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Showing results 21-40

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Federal Way, WA

Artificial Intelligence Machine Learning Engineer information

See Federal Way, WA salary details

$35.2K

$143.8K

$216.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for artificial intelligence machine learning engineer in Federal Way, WA is $143,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $173,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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

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

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

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

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Federal Way, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $143,801 per year, or $69.1 per hour.

Principal Machine Learning Engineer (10187)

Seattle, WA • On-site, Remote

Extreme Networks
Software Development • 1 - 5K employees
Learn more about Extreme Networksexternal

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.

Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.

Position details

Title of position: Principal Machine Learning Engineer

Position type: Full time

Location: Seattle, WA

Position reports to: Director of Software Systems Engineering

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time 

About the Position:
  • Position : Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data
    Experience : 10+ Years
    Seattle, WA - Hybrid
     
    Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. 
Required Skills & Expertise:
  • Degree in mathematics/computer science or related discipline.
  • 10+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience as a mentor, tech lead or leading an engineering team.
Preferred Qualifications:
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.
  • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
Equal Employment Opportunity
  1. Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
  2. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.
This role offers a market‑competitive salary with an anticipated base compensation range of 150,000 to 200,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below. Benefits and total rewards:

Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:

  • Medical, dental, and vision insurance
  • Flexible work schedules and work-from-home opportunities where role permits
  • Paid time off, including open time off in eligible markets and statutory leave in all markets
  • Paid holidays in accordance with local practice
  • Retirement savings programs, including RRSP matching in Canada
  • Employee Stock Purchase Program, where eligible
  • Employee assistance program
  • Tuition reimbursement, where eligible

Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.