Job Details

On-device ML Infrastructure Engineer (Compiler & Runtime)

Cupertino, California, United States

Software and Services

Summary

Posted: Mar 18, 2025

Weekly Hours: 40

Role Number: 200595553

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products.

The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to execute these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations. This infrastructure underpins most of Apple’s critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence.

Our group is looking for an ML Infrastructure Engineer, with a focus on graph compiler and runtime. The role entails building optimized compiler and runtime infrastructure that ensures first and third party machine learning models can run optimally across the range of Apple products and leverage Apple’s unique machine learning hardware.

Description

We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple’s vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis.

As an engineer in this role, you will be tasked with building critical compiler and runtime infrastructure that powers almost all on device machine learning features across Apple devices. You will have the opportunity to leverage Apple’s unique vertical machine learning stack that goes all the way down to custom silicon and drive impact on a wide range of Apple features and products.

Key responsibilities:

Design, build, and maintain critical machine learning infrastructure that powers Apple’s on device machine learning features.

Collaborate with downstream hardware compilers to best leverage Apple’s on device machine learning hardware.

Collaborate with first and third party users to adopt our infrastructure and apply best practices when they implement machine learning on Apple devices.

Ensure our infrastructure can run optimally for a wide range of first and third party machine learning models.

Minimum Qualifications

• Bachelors in Computer Science, Engineering, or related discipline.

• Highly proficient in C++. Familiarity with Python and/or Swift

• Familiarity with Operating Systems and Embedded Programming.

• Sound understanding of ML fundamentals, including common architectures such as Transformers.

Preferred Qualifications

• Experience with any on-device ML stack, such as TFLite, ONNX, ExecuTorch, etc.

• Experience with open source machine learning models (Mistral, Phi, Gemma, Huggingface, etc)

• Experience with any compiler stack (MLIR/LLVM/TVM/...).

• Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.).

• Experience with machine learning accelerators and GPU programming.

• Good communication skills, including ability to communicate with cross-functional audiences.

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 $175,800 and $312,200, 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. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.