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Senior Machine Learning Engineer Jobs in Bothell, WA

PitchBook

Machine Learning Engineer

Seattle, WA · On-site

They are seeking a Machine Learning Engineer to develop AI-powered features that extract insights from structured and unstructured data, focusing on natural language processing and machine learning ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

You: As a Sr Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world ...

LVT

Machine Learning Engineer

Seattle, WA · On-site

$150.50K - $208K/yr

About This Role As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, LLM, VLM, and Agentic AI development for LiveView Technologies. You will be ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

You: As a Sr Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world ...

MORSE Corp

Machine Learning Engineer

Seattle, WA

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186.50K - $265K/yr

At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA

$186.50K - $265K/yr

At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored ...

Vilya

Machine Learning Engineer

Seattle, WA

$154K - $174K/yr

... Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform. Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate ...

LVT

Machine Learning Engineer

Seattle, WA · On-site

$150.50K - $208K/yr

About This Role As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, LLM, VLM, and Agentic AI development for LiveView Technologies. You will be ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

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All JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Bothell, WA

Senior Machine Learning Engineer information

See Bothell, WA salary details

$67.6K

$143.9K

$208.6K

How much do senior machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for senior machine learning engineer in Bothell, WA is $143,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $163,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Bothell, WA? The most popular types of Machine Learning Engineer jobs in Bothell, WA are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Bothell, WA? For Senior Machine Learning Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Senior Machine Learning Engineer jobs? Cities near Bothell, WA with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Bothell, WA as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $143,863 per year, or $69.2 per hour.
Senior Machine Learning Compiler Engineer

Senior Machine Learning Compiler Engineer

Amazon

Seattle, WA

$139.40K - $183.80K/yr

Full-time

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud.

This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.
The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations


The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance.
You: As a Sr

Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to Amazon ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects.

A background in Machine Learning and AI accelerators is preferred, but not required.
In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle.
About the team
.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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