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Machine Learning Performance Engineer
2 months ago
We are seeking a highly skilled Machine Learning Performance Engineer to join our team at Apple Inc. in a critical role that will directly impact Siri's performance and efficiency.
Key Responsibilities
- Analyze and optimize the performance of machine learning models and systems used by Siri.
- Develop and implement strategies for model tuning, parameter optimization, and efficient resource usage.
- Conduct performance benchmarking and develop tooling and metrics to measure model performance in terms of compute, memory, and latency.
- Collaborate with feature and product teams to consult on modeling decisions to achieve Siri performance objectives.
- Collaborate with hardware and software teams to integrate research findings into product implementation.
Requirements
- Strong understanding of Transformer and LLM architectures.
- Strong understanding of Operating System, Compiler, and Computer Architecture fundamentals. Expertise in optimizing software to take advantage of underlying hardware architecture.
- Experience in analyzing, identifying, and optimizing performance bottlenecks.
Preferred Qualifications
- Strong plus if you have expertise in optimizing model architectures for on-device inference.
- Strong plus if you have previously worked with modeling pipeline teams in model deployment and promotion pipelines.
- Creative, collaborative, and product-focused.
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.
