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Entry Level Machine Learning Engineer Jobs in Seattle, WA

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Entry Level Machine Learning Engineer information

See Seattle, WA salary details

$34.1K

$78.9K

$134.3K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for entry level machine learning engineer in Seattle, WA is $78,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $89,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Seattle, WA? The most popular types of Machine Learning Engineer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Seattle, WA? For Entry Level Machine Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Seattle, WA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 89% Full Time, 5% Part Time, 3% Contract, and 3% Summer. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $78,936 per year, or $38 per hour.
Machine Learning Engineer, Ad Response Prediction

Machine Learning Engineer, Ad Response Prediction

Amazon

Seattle, WA • On-site

Full-time

Posted 26 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,878 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

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.
What we do:
- Re-invent advertising experiences by bridging human creativity with artificial intelligence
- Transform every aspect of the advertising lifecycle - from ad creation and optimization to performance analysis and customer insights
- Develop responsible and intelligent AI technologies that balance advertiser needs, enhance the shopping experience, and strengthen the marketplace
Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning and NLP research scientists to deliver highly relevant ads and continuously improve the customer search and detail page experiences.
As a Machine Learning Engineer, you will:
- Drive the technical direction of our offerings across the Sponsored Products organization
- Design, code, troubleshoot, and support scalable ML pipelines and online serving systems
- Work closely with applied scientists to optimize ML model performance and infrastructure
- Implement end-to-end solutions - what you create is what you own
We're looking for curious, customer-obsessed engineers with a startup mentality - those who seek a disruptive yet clear mission, have an owner's mindset, and are relentlessly obsessed with delivering amazing products.
Key job responsibilities
You will:
- Own technical vision and direction - Identify problems, develop solutions, and embrace performance metrics to assess system health
- Build and grow your team - Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group
- Collaborate on product direction - Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers
- Lead beyond your team - Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions
- Own your own shop - Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365)
You are:
- Highly analytical - You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Team obsessed - You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results
- 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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