1

From Home Machine Learning Compiler Engineer Jobs in California

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 ...

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 ...

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 ...

next page

Showing results 1-20

From Home Machine Learning Compiler Engineer information

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.

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 From Home Machine Learning Compiler Engineer jobs in California? For From Home Machine Learning Compiler Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs in California look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs in California are:
What cities in California are hiring for From Home Machine Learning Compiler Engineer jobs? Cities in California with the most From Home Machine Learning Compiler Engineer job openings:
Machine Learning Compiler Engineer

Machine Learning Compiler Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted 28 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

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

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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