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Machine Learning Engineer Software Engineer Jobs in Federal Way, WA

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Excellent software design skills. * Comfort communicating and interacting with scientists ...

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

Farmers use our software every day to make critical decisions and run more efficient, profitable ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

Farmers use our software every day to make critical decisions and run more efficient, profitable ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Showing results 41-60

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 18, 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:

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.

Machine Learning Engineer, CreativeX

Amazon

Seattle, WA • On-site

Full-time

Re-posted 8 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer (MLE) to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods.
Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers

We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.
Key job responsibilities
- Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain.
- Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems.
- Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
- Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.


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