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From Home 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 ...

Machine Learning Compiler Engineer

Raleigh, NC · On-site

$80K - $106K/yr

... Compiler engineers to join us. Our team is working on advancing machine learning compiler ... We have open positions spanning multiple levels, from entry to experienced. Our team is a good home ...

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 ...

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 ...

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 ...

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From Home Machine Learning Compiler Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jul 11, 2026, the average yearly pay for from home 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 the difference between From Home Machine Learning Compiler Engineer vs From Home Data Scientist?

AspectFrom Home Machine Learning Compiler EngineerFrom Home Data Scientist
Required SkillsProgramming (C++, Python), compiler design, ML frameworksStatistics, data analysis, programming (Python, R), visualization
Work EnvironmentRemote, software development teams, tech companiesRemote, analytics teams, research institutions
Industry UsageTech, AI, hardware optimizationTech, finance, healthcare, research

While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.

More about From Home Machine Learning Compiler Engineer jobs
What cities are hiring for From Home Machine Learning Compiler Engineer jobs? Cities with the most From Home 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 From Home Machine Learning Compiler Engineer jobs? States with the most job openings for From Home Machine Learning Compiler Engineer jobs include:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs are:
Infographic showing various From Home Machine Learning Compiler Engineer job openings in the United States as of July 2026, with employment types broken down into 77% Locum Tenens, 2% As Needed, and 21% Full Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Compiler Engineer

Machine Learning Compiler Engineer

Apple

Sunnyvale, CA

$184K - $324K/yr

Full-time

Medical, Dental, Retirement

Re-posted 10 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th 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.
We are looking for an engineer with deep expertise in compiler technology, and eager to tackle new challenges and responsibilities as the role evolves. As the position progresses, there will be opportunities to demonstrate leadership, influence key decisions, collaborate with and support other engineers, and help guide the direction of Apple’s AI-driven capabilities across the ecosystem.
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
• Mentor and guide emerging and mid-level engineers, sharing expertise to foster their growth in compiler technologies and ensuring high standards of code quality, innovation, and efficiency
• 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
• Cultivate a culture of learning and collaboration, encouraging innovation, and supporting engineers in their development, with the potential to expand influence across the organization
Preferred Qualifications
Bachelor’s (and/or Master's/PhD) degree in Computer Science, Computer Engineering, or a related field with 10 years of relevant experience
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
Proven track record in mentoring and coaching engineers, with an interest in taking on increasing responsibilities and contributing to the team's development
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, or a related field with 5 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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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