Machine Learning Performance Engineer
14 hours ago
We are seeking an exceptional Machine Learning Performance Engineer to join our Siri team in the AIML group at Apple. As a key member of our team, you will play a critical role in ensuring the efficiency and scalability of Siri's machine learning models.
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.
We are looking for a strong understanding of Transformer and LLM architectures, as well as Operating System, Compiler, and Computer Architecture fundamentals. Expertise in optimizing software for take advantage of underlying hardware architecture is also essential. Experience in analyzing, identifying, and optimizing performance bottlenecks is a must.
Preferred QualificationsStrong 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.
What We OfferAt Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. You will also receive benefits such as comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. Additionally, you will have the opportunity to become an Apple shareholder through participation in our discretionary employee stock programs.
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