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Internship Machine Learning Compiler Engineer Jobs

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

You: Machine Learning Compiler Engineer on the Amazon Neuron team, you will be supporting the ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Machine Learning Compiler Engineer on the Amazon Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and ...

Machine Learning Compiler Engineer At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of ...

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

$181.10K - $318.40K/yr

Machine Learning Compiler Engineer At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of ...

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

$147.40K - $272.10K/yr

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

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 ...

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 ... About the team BASIC QUALIFICATIONS - 5+ years of non-internship professional software development ...

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Internship Machine Learning Compiler Engineer information

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$25.5K

$42.6K

$88K

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

As of Jun 4, 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 May 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Compiler Engineer

Machine Learning Compiler Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted 3 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more. This is a dynamic opportunity to work with us in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing!..Are you ready to help us deliver the next groundbreaking Apple products?
As a Machine Learning Compiler Engineer, you will:• Architect and develop the compiler for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency• Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next-gen features• Lead the design and implementation of complex compiler features, advancing both technical capabilities and strategic alignment across the team and company• Play an instrumental role in defining new compiler architecture approaches and optimizations, balancing trade-offs between performance, energy efficiency, and hardware constraints• Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware, contributing to the vision and roadmap of the Apple Neural Engine team
Bachelor's degree in Computer Science, Computer Engineering, or a related fieldExperience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVMProven expertise in compiler design and architecture, including deep experience with front-end and middle-end optimizations, register allocation, and back-end code generationHigh-level proficiency in C++ and experience working with large, complex software systems
Master's or PhD degree in Computer Science, Computer Engineering, or a related fieldDemonstrated ability to ship high-quality production softwareStrong communication skills and ability to collaborate effectively across teams and functionsExperience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniquesExpertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and toolsFamiliarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real-time code execution

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976