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Freelance Machine Learning Compiler Engineer Jobs

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

Description 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 ...

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

$150K - $277K/yr

Description 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 ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

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 ...

Qualcomm

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 ...

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

As of Sep 15, 2026, the average hourly pay for freelance machine learning compiler engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 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.

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Freelance Machine Learning Compiler Engineer jobs near you
Infographic showing various Freelance Machine Learning Compiler Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Machine Learning Compiler Engineer

Sunnyvale, CA • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Apple Inc.external

Other

Re-posted 16 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 686 frontline employees who took The Breakroom Quiz

Job description

Sunnyvale, California, United States Machine Learning and AI

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?

Description

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
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experience
  • Experience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVM
  • Proven expertise in compiler design and architecture, including deep experience with front‑end and middle‑end optimizations, register allocation, and back‑end code generation
  • High‑level proficiency in C++ and experience working with large, complex software systems
Preferred Qualifications
  • Master's or PhD degree in Computer Science, Computer Engineering, or a related field
  • Demonstrated ability to ship high‑quality production software
  • Strong communication skills and ability to collaborate effectively across teams and functions
  • Experience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi‑threading techniques
  • Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools
  • Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real‑time code execution

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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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

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