AIML - Machine Learning Engineer, On-Device Machine Learning
Seattle, Washington, United States
Machine Learning and AI
Help us bring state-of-the-art ML models to the entire Apple ecosystem, enabling the next generation of ML-based experiences in a privacy-preserving way! Our team is responsible for the core framework that launches neural-network workloads on Apple devices. We build the bridge between the compute resources available on Apple hardware and an entire universe of ML models, trained by feature teams throughout Apple and by our developer community. Your work on our team will enable increasingly sophisticated models throughout our products, from the computer vision models that process every camera frame in the Apple Vision Pro, to the language models that allow human-computer interaction to feel more human. By developing the underlying representation, pipeline, and runtime executor for these workloads, including the mechanisms for mapping them to the CPU, GPU, and Neural Engine, you will play a critical role in expanding what is possible for Apple and for the world.
Key Qualifications
- Excellent C/C++ programming and debugging skills
- Enthusiasm for API design and software architecture
- Exceptional verbal and written communication skills
- Experience with modern neural-network architectures and deep learning libraries
- Expertise with performance optimization (preferred)
- Familiarity with Machine Learning Compiler Technologies such as LLVM/MLIR is plus
Description
* Design and implement improvements to Apple’s Model Intermediate Language (MIL), the intermediate representation of neural-network workloads shared across the inference stack
* Develop the mechanisms for analyzing and transforming MIL workloads
* Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution on device
* Optimize our software stack for extensibility and experimentation, paving the way for ongoing innovation
* Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency
* Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated, state-of-the-art models
Education & Experience
BS/MS/PhD in Computer Science or Electrical Engineering
Solid industry experience (2+ years)
Additional Requirements
- Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
- Apple benefits programs vary by country and are subject to eligibility requirements.
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.