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Machine Learning Compiler Engineer Jobs (NOW HIRING)

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/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 ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/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 ...

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

$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 ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/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 ...

Qualcomm

Machine Learning Compiler Engineer

Manhattan, NY · On-site

$200.80 - $301.20/hr

... machine learning accelerators, then you really want to be talking to us! The Compiler Labs unit in Qualcomm AI Software department is looking for ML Compiler engineers to join our team. We work ...

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Machine Learning Compiler Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Aug 9, 2026, the average yearly pay for machine learning compiler engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a machine learning compiler engineer?

A Machine Learning Compiler Engineer focuses on optimizing and building compilers that translate high-level machine learning models into efficient code runnable on specialized hardware (e.g., GPUs, TPUs). They work on improving performance, memory usage, and execution efficiency of ML workloads by designing compiler optimizations, code generation techniques, and leveraging frameworks like LLVM or MLIR. Their role bridges the gap between ML researchers and hardware engineers, ensuring models run efficiently on target platforms.

What are the typical daily responsibilities of a machine learning compiler engineer?

As a Machine Learning Compiler Engineer, your daily responsibilities often include designing and implementing new compiler optimizations, collaborating with machine learning researchers to support model deployment, and debugging performance or correctness issues in compiled code. You may participate in code reviews, write technical documentation, and conduct benchmarking to evaluate how machine learning models perform on various hardware backends. Close collaboration with hardware engineers, software architects, and data scientists is common, ensuring end-to-end solutions meet both research and production requirements. Staying updated with the latest advancements in both compiler technology and machine learning frameworks is also a key aspect of the role.

What are the key skills and qualifications needed to thrive as a machine learning compiler engineer?

A Machine Learning Compiler Engineer needs a deep understanding of computer science fundamentals, compiler theory, and experience with machine learning frameworks, often supported by a relevant degree in computer science or engineering. Proficiency with tools such as LLVM, TVM, MLIR, and languages like C++, Python, and CUDA is typically required, and familiarity with hardware architectures is a plus. Strong problem-solving, teamwork, and communication skills are essential for collaborating with cross-functional teams and addressing complex system issues. These capabilities are important for designing and optimizing compilers that enable scalable and efficient deployment of machine learning models on diverse hardware platforms.

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Machine Learning Compiler Engineer jobs near you
Infographic showing various Machine Learning Compiler Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Compiler Engineer

Apple Inc.

Sunnyvale, CA • On-site

$150 - $190/hr

Other

Re-posted 9 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

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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Benefits

Hours and flexibility

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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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