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Artificial Intelligence Machine Learning Engineer Jobs in Federal Way, WA

Amazon

Machine Learning Engineer

Seattle, WA · On-site

Key job responsibilities As a Software Development Engineer in Machine Learning, you will: - Design ... with artificial intelligence to transform every aspect of the advertising lifecycle from ad ...

Amazon

Machine Learning Engineer

Seattle, WA · On-site

Key job responsibilities As a Software Development Engineer in Machine Learning, you will: - Design ... with artificial intelligence to transform every aspect of the advertising lifecycle from ad ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...

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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 Jul 26, 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 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 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 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 July 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $143,801 per year, or $69.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Amazon

Seattle, WA • On-site

Full-time

Posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,012 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

What if you could build the machine learning systems that decide which ads hundreds of millions of shoppers see-across every Amazon surface, worldwide?
The Sponsored Products and Brands - General Shopping Intelligence is looking for a talented Software Engineer with a strong machine learning engineering background to help us push the boundaries of ad relevance at Amazon scale. You'll partner with engineers and scientists to build advanced ML models and infrastructure-from training to inference-including emerging LLM-based systems that connect shoppers with the most relevant ads at exactly the right moment.
We're a highly motivated, collaborative team with a strong entrepreneurial spirit and bias for action. If you thrive in fast-moving environments where your work directly drives business growth and customer experience, this is where you'll do your best work.
Key job responsibilities
As a Software Development Engineer in Machine Learning, you will:
- Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB that process shopper behavioral signals at scale (100K+ TPS, sub-second latency)
- Develop and maintain ML feature generation services that transform raw customer interactions into ML-ready signals consumed by prediction models across Amazon Ads
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Build and improve data quality monitoring frameworks, automated alerting, and self-healing mechanisms to ensure signal reliability at 99.9%+ availability
- Collaborate with applied scientists and partner engineering teams to onboard new shopper signals, define feature schemas, and optimize serving latency for real-time ad personalization
- Contribute to system design discussions, propose technical solutions for ambiguous problems, and drive implementation end-to-end with guidance from senior engineers
A day in the life
- Highly analytical - You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Humbitious - Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity - You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond

We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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