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Artificial Intelligence Machine Learning Engineer Jobs in Federal Way, WA

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

  • Medical

  • Life

  • Retirement

... 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 ...

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

  • Medical

  • Life

  • Retirement

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... our artificial intelligence, machine learning and natural language processing systems and ... engineers to solve and contribute to the innovative products we are building. You will be ...

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Apple

Machine Learning Engineer - Health AIML

Seattle, WA

$205K - $374K/yr

  • Medical

  • Dental

  • Retirement

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

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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 Aug 18, 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.

Machine Learning Engineer - Simulation Framework

Zoox

Seattle, WA • On-site

$151K - $257K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real-world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe.

As a Machine Learning Engineer on the Simulation Core Team, you will focus on the intersection of machine learning and synthetic environments within our high-speed, GPU-based simulation framework. Our success depends on you driving ML efficiency while solving complex "sim-to-sim" and "sim-to-real" fidelity gaps, ensuring our safety-critical models train on data that perfectly aligns with physical vehicle behavior.

In this role, you will:
  • Develop and optimize our GPU-based simulation framework to support complex machine learning training and validation pipelines.
  • Apply reinforcement learning concepts to solve complex behavioral and path planning challenges in simulation environments.
  • Identify and resolve "sim-to-sim" and “sim-to-real” fidelity gaps to ensure parity between high-speed ML simulations, high-fidelity 3D environments, and physical vehicle execution.
  • Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.
  • Write robust, production-ready code to integrate advanced ML algorithms directly into our core simulation architecture.
Qualifications:
  • PhD or Master’s in computer science, robotics, machine learning, or a related field.
  • Deep understanding of reinforcement learning and its application in simulated or robotic environments.
  • Hands-on experience developing, training, and fine-tuning deep learning models using modern frameworks (e.g., JAX or PyTorch).
  • Strong proficiency in C++ and Python for building and deploying production machine learning systems.
  • Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.
Bonus Qualifications:
  • Experience with GPU programming (CUDA) or high-performance compute clusters.
  • Automotive or autonomous robotics industry experience.
  • Strong background in deterministic systems and latency optimization.
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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.