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Internship Machine Learning Compiler Engineer Jobs

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI ...

Job Summary : Qualcomm Technologies, Inc. is focused on advancing machine learning compiler ... Required : • Bachelor's degree in Computer Science, Electrical Engineering, or related field and ...

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop ... and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop ... and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Senior AI Compiler Engineer

Austin, TX

$103K - $142K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning ...

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Internship Machine Learning Compiler Engineer information

See salary details

$25.5K

$42.6K

$88K

How much do internship machine learning compiler engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for internship machine learning compiler engineer in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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

AspectInternship Machine Learning Compiler EngineerInternship Software Engineer
FocusDeveloping and optimizing compilers for machine learning modelsDesigning, coding, and testing software applications across various domains
SkillsMachine learning, compiler design, programming (C++, Python)Programming, algorithms, software development
Work EnvironmentResearch labs, tech companies, AI-focused teamsTech companies, startups, software firms
Industry UsageAI, machine learning, deep learning industriesBroad software development across industries

Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.

More about Internship Machine Learning Compiler Engineer jobs
What cities are hiring for Internship Machine Learning Compiler Engineer jobs? Cities with the most Internship Machine Learning Compiler Engineer job openings:
What are the most commonly searched types of Machine Learning Compiler Engineer jobs? The most popular types of Machine Learning Compiler Engineer jobs are:
What states have the most Internship Machine Learning Compiler Engineer jobs? States with the most job openings for Internship Machine Learning Compiler Engineer jobs include:
Infographic showing various Internship Machine Learning Compiler Engineer job openings in the United States as of June 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs

ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs

Amazon

Seattle, WA

Full-time

Posted 19 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 AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a 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, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.
Key job responsibilities
As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability

You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers.
Strong software development skills using C++/Python are critical to this role.
A science background in compiler development is strongly preferred. 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 (Preferred), Cupertino, Austin, or Toronto


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