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 ...
Machine Learning Compiler Engineer
$150K - $277K/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 ...
Machine Learning Compiler Engineer
$150K - $277K/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 ...
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 ...
Senior Machine Learning Compiler Engineer
$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
$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 ...
Engineering Group, Engineering Group > Machine Learning Engineering General Summary: If you're ... Levels and locations This spans multiple levels, from entry to experienced. Our team is a good home ...
Engineering Group, Engineering Group > Machine Learning Engineering General Summary: If you're ... Levels and locations This spans multiple levels, from entry to experienced. Our team is a good home ...
... 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 ...
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 ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
Quick apply
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... 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 ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
Quick apply
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... 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 ...
... 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 ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... from leading frameworks such as PyTorch, TensorFlow, and JAX ... Your role will involve working closely with our custom-built Machine Learning accelerators ...
... from leading frameworks such as PyTorch, TensorFlow, and JAX ... Your role will involve working closely with our custom-built Machine Learning accelerators ...
... from leading frameworks such as PyTorch, TensorFlow, and JAX ... Your role will involve working closely with our custom-built Machine Learning accelerators ...
... from leading frameworks such as PyTorch, TensorFlow, and JAX ... Your role will involve working closely with our custom-built Machine Learning accelerators ...
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 ... from third party application services.
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 ... from third party application services.
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 ...
Senior Compiler Engineer
San Francisco, CA · On-site
$123K - $169K/yr
... engineering culture from the ground up Qualifications : Required : • Experience with compiler ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...
Senior Compiler Engineer
San Francisco, CA · On-site
$123K - $169K/yr
... engineering culture from the ground up Qualifications : Required : • Experience with compiler ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...
From Home 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 from home machine learning compiler engineer jobs pay per year?
As of Aug 1, 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?
| Aspect | From Home Machine Learning Compiler Engineer | From Home Data Scientist |
|---|---|---|
| Required Skills | Programming (C++, Python), compiler design, ML frameworks | Statistics, data analysis, programming (Python, R), visualization |
| Work Environment | Remote, software development teams, tech companies | Remote, analytics teams, research institutions |
| Industry Usage | Tech, AI, hardware optimization | Tech, 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:
Apple rating
8.0
Based on 676 frontline employees who took The Breakroom Quiz
7th 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?
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
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
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