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Freelance Machine Learning Compiler Engineer Jobs in Seattle, WA

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

NVIDIA is a leading technology company known for its innovative contributions in fields such as Artificial Intelligence and Deep Learning. They are seeking a Senior LLVM Compiler Engineer to join ...

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With ...

Senior Applied Scientist, Annapurna ML

Seattle, WA · On-site

$104K - $142K/yr

... in compiler technology and deep-learning systems software. Strong experience in programming ... A background in machine learning and AI accelerators is preferred but not required. A day in the ...

... in compiler technology and deep-learning systems software. Strong experience in programming ... A background in machine learning and AI accelerators is preferred but not required. A day in the ...

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 ...

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 ...

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Freelance Machine Learning Compiler Engineer information

See Seattle, WA salary details

$16

$54

$150

How much do freelance machine learning compiler engineer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for freelance machine learning compiler engineer in Seattle, WA is $54.29, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $70.29 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Seattle, WA? The most popular types of Machine Learning Compiler Engineer jobs in Seattle, WA are:
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Applied Scientist, Neuron ARG, Annapurna ML

Applied Scientist, Neuron ARG, Annapurna ML

Amazon

Seattle, WA

Full-time

Re-posted 9 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Automated Reasoning Group in the Amazon Neuron team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch and JAX. Your role will involve working closely with our custom-built Machine Learning accelerator, Trainium, which represents the forefront of innovation for advanced ML capabilities, and is the underpinning of Generative AI.
In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs

You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software.

Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit in this role.
A background in machine learning and AI accelerators is preferred but not required.


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