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 on the Amazon Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and ...
Machine Learning Compiler Engineer on the Amazon Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and ...
Machine Learning Compiler Engineer
$181K - $318K/yr
Machine Learning Compiler Engineer At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of ...
Machine Learning Compiler Engineer
$181K - $318K/yr
Machine Learning Compiler Engineer At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of ...
Machine Learning Compiler Engineer on the Amazon Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and ...
Machine Learning Compiler Engineer on the Amazon Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and ...
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
$181K - $318K/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
$181K - $318K/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
$147K - $272K/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
$147K - $272K/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 on the Amazon Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and ...
Machine Learning Compiler Engineer on the Amazon Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and ...
... 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 ...
Senior AI Compiler Engineer
Santa Clara, CA · On-site
$122K - $168K/yr
They are seeking a Machine Learning Compiler Engineer with expertise in compiler technologies to innovate in machine learning and development tools, influencing global products. Responsibilities ...
Senior AI Compiler Engineer
Santa Clara, CA · On-site
$122K - $168K/yr
They are seeking a Machine Learning Compiler Engineer with expertise in compiler technologies to innovate in machine learning and development tools, influencing global products. Responsibilities ...
Staff Machine Learning Compiler Engineer
$206K - $258K/yr
Excellent C/C++ and Python programming skills. Experience with various SOC platforms used for machine learning. Strong understanding of deep learning software models. Experience in compiler pipeline ...
Staff Machine Learning Compiler Engineer
$206K - $258K/yr
Excellent C/C++ and Python programming skills. Experience with various SOC platforms used for machine learning. Strong understanding of deep learning software models. Experience in compiler pipeline ...
Compiler Engineer II - Machine Learning, Annapurna Labs
Cupertino, CA · On-site
$120K - $164K/yr
As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
New
Compiler Engineer II - Machine Learning, Annapurna Labs
Cupertino, CA · On-site
$120K - $164K/yr
As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
New
Compiler Engineer II - Machine Learning, Annapurna Labs
Cupertino, CA · On-site
$120K - $164K/yr
As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
New
Compiler Engineer II - Machine Learning, Annapurna Labs
Cupertino, CA · On-site
$120K - $164K/yr
As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
New
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$206K - $258K/yr
Excellent C/C++ and Python programming skills. * Experience with various SOC platforms used for machine learning. * Strong understanding of deep learning software models. * Experience in compiler ...
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$206K - $258K/yr
Excellent C/C++ and Python programming skills. * Experience with various SOC platforms used for machine learning. * Strong understanding of deep learning software models. * Experience in compiler ...
Staff Machine Learning Compiler Engineer
$206K - $258K/yr
Excellent C/C++ and Python programming skills. * Experience with various SOC platforms used for machine learning. * Strong understanding of deep learning software models. * Experience in compiler ...
Staff Machine Learning Compiler Engineer
$206K - $258K/yr
Excellent C/C++ and Python programming skills. * Experience with various SOC platforms used for machine learning. * Strong understanding of deep learning software models. * Experience in compiler ...
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$228K - $285K/yr
Excellent C/C++ and Python programming skills. * Experience with various SOC platforms used for machine learning. * Strong understanding of deep learning software models. * Experience in compiler ...
Staff Machine Learning Compiler Engineer
Palo Alto, CA · On-site
$228K - $285K/yr
Excellent C/C++ and Python programming skills. * Experience with various SOC platforms used for machine learning. * Strong understanding of deep learning software models. * Experience in compiler ...
Job Title : Machine Learning Compiler Architect Location : Mountain View, CA(Hybrid ... with hardware engineers and system architects to ensure seamless integration and maximal ...
Job Title : Machine Learning Compiler Architect Location : Mountain View, CA(Hybrid ... with hardware engineers and system architects to ensure seamless integration and maximal ...
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 ...
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 ...
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 ...
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 ...
Junior Machine Learning Compiler Engineer information
What are typical projects and responsibilities for a Junior Machine Learning Compiler Engineer in a collaborative team setting?
As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.
What does a Junior Machine Learning Compiler Engineer do?
A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.
What are the key skills and qualifications needed to thrive as a Junior Machine Learning Compiler Engineer, and why are they important?
To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.
What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?
| Aspect | Junior Machine Learning Compiler Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworks | Bachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills |
| Work Environment | Software development teams, focusing on compiler optimization for ML models | Data analysis teams, focusing on data interpretation and model development |
| Employer & Industry Usage | Tech companies, AI startups, hardware firms | Tech firms, finance, healthcare, research institutions |
The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in California? The most popular types of Machine Learning Compiler Engineer jobs in California are:
What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in California? For Junior Machine Learning Compiler Engineer jobs in California, the most frequently searched job titles are:
- Machine Learning Engineer Biotech
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What cities in California are hiring for Junior Machine Learning Compiler Engineer jobs? Cities in California with the most Junior Machine Learning Compiler Engineer job openings:
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th 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?
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
Bachelor's degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experienceExperience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVMProven expertise in compiler design and architecture, including deep experience with front-end and middle-end optimizations, register allocation, and back-end code generationHigh-level proficiency in C++ and experience working with large, complex software systems
Master's or PhD degree in Computer Science, Computer Engineering, or a related fieldDemonstrated ability to ship high-quality production softwareStrong communication skills and ability to collaborate effectively across teams and functionsExperience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniquesExpertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and toolsFamiliarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real-time code execution
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
Bachelor's degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experienceExperience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVMProven expertise in compiler design and architecture, including deep experience with front-end and middle-end optimizations, register allocation, and back-end code generationHigh-level proficiency in C++ and experience working with large, complex software systems
Master's or PhD degree in Computer Science, Computer Engineering, or a related fieldDemonstrated ability to ship high-quality production softwareStrong communication skills and ability to collaborate effectively across teams and functionsExperience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniquesExpertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and toolsFamiliarity 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