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 ...
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 ...
... engineers and ML researchers to optimize deep learning workloads on dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... machine learning accelerators, then you really want to be talking to us! The Compiler Labs unit in Qualcomm's AI Software department is looking for ML Compiler engineers to join our team. We work ...
... machine learning accelerators, then you really want to be talking to us! The Compiler Labs unit in Qualcomm's AI Software department is looking for ML Compiler engineers to join our team. We work ...
Machine Learning Compiler Engineer
$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 ...
Machine Learning Compiler Engineer
$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 ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
Quick apply
... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on cutting-edge dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
Quick apply
... engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on advanced dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads on advanced dataflow hardware ... with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... engineers and ML researchers to optimize deep learning workloads for advanced dataflow hardware ... Preferred : • Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE ...
... engineers and ML researchers to optimize deep learning workloads for advanced dataflow hardware ... Preferred : • Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE ...
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$206K - $258K/yr
... Python programming skills. * Experience with various SOC platforms used for machine learning ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$206K - $258K/yr
... Python programming skills. * Experience with various SOC platforms used for machine learning ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$206K - $258K/yr
... Python programming skills. * Experience with various SOC platforms used for machine learning ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$206K - $258K/yr
... Python programming skills. * Experience with various SOC platforms used for machine learning ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...
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 ...
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 ...
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 ...
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 ...
Senior Compiler Engineer
San Francisco, CA · On-site
$123K - $169K/yr
They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...
Senior Compiler Engineer
San Francisco, CA · On-site
$123K - $169K/yr
They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
As a Sr Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
As a Sr Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML ...
Full Time Machine Learning Compiler Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do full time machine learning compiler engineer jobs pay per year?
As of Aug 26, 2026, the average yearly pay for full time 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 Full Time Machine Learning Compiler Engineer vs Data Scientist?
| Aspect | Full Time Machine Learning Compiler Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler design and ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills |
| Work Environment | Software development teams, focusing on compiler optimization and ML infrastructure | Data analysis teams, focusing on data modeling, visualization, and insights |
| Industry Usage | Tech companies, AI startups, hardware firms | Finance, healthcare, marketing, and tech sectors |
The Full Time Machine Learning Compiler Engineer primarily develops and optimizes compilers for ML models, requiring deep technical knowledge of compiler architecture. In contrast, Data Scientists analyze data to generate insights and build models without focusing on compiler development. Both roles are essential in AI-driven industries but serve different technical and business functions.
More about Full Time Machine Learning Compiler Engineer jobs
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 job categories do people searching Full Time Machine Learning Compiler Engineer jobs look for?
The top searched job categories for Full Time Machine Learning Compiler Engineer jobs are:
- Freelance Machine Learning Compiler Engineer
- Internship Machine Learning Compiler Engineer
- Ai Machine Learning Engineer
- Director Google Machine Learning Engineer
- Graduate Machine Learning Engineer
- Full Time No Experience Machine Learning
- Freelance Google Machine Learning Engineer
- Machine Learning Engineer Opt
- Senior Meta Machine Learning
- Patterned Learning Ai
Machine Learning Compiler Engineer
Sunnyvale, CA • On-site
Apple •
Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
People enjoy working here
Good employer
Recommended by students
Paid breaks
Recommended by parents
Full-time
Re-posted 26 days ago
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!
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 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?
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
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 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?
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
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
