On-device ML Infrastructure Engineer (ML Performance Insights)

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 embedded 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 ML Performance Insights. The role entails scaling and extending a significant on-device ML benchmarking service used across Apple.

Description This role provides a great opportunity to help scale and extend an on-device ML benchmarking service that is used across Apple, in support of a range of devices from small wearables up to the largest Apple Silicon Macs. In this role, you will be an integral member of a talented team that is 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. The role further offers a learning platform to dig into the latest research about on-device machine learning, an exciting ML frontier! Possible example areas include model visualization, efficient inference algorithms, model compression, on-device fine-tuning, federated learning and/or ML compilers/run-time.

Responsibilities

• Provide deep insights of on-device ML model performance, as well as explore optimizations where appropriate.
• Drive new capabilities for ML benchmarking service.
• Play a key role in maintaining the health and performance of the service, including debugging failures and addressing user questions / requests.
• Collaborate extensively with ML and hardware teams across Apple.

Minimum Qualifications

• Strong ML fundamentals across training, evaluation and inference, and knowledge of modern model architectures such as Transformers, CNNs or Stable Diffusion;
• Programming and software design skills (proficiency in Python and/or C/C++);
• A passion for edge / on-device ML;
• Understanding about performance modeling, analysis and profiling of computer systems, and how to optimize code run time and throughput for a given platform;
• Collaboration, product-focus and excellent interpersonal skills.

Preferred Qualifications

• Masters or PhDs in Computer Science or relevant disciplines;
• On-device ML frameworks such as CoreML, TFLite or ExecuTorch;
• Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.) is a strong plus;
• Experience in software architecture, APIs, high performance extensible software and scalable software systems;
• Understanding of how to optimize code run time and throughput for a given platform;
• Interest and experience in power and/or hardware accelerators is a plus;
• Back-end system skills including containers (docker), cloud orchestration (Kubernetes), database (SQL, Postgres).

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 $139,500 and $258,100, 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.

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 .