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Apple Principal Machine Learning Engineer - ML Innovation United States, California, Cupertino 114277828
31.03.2025
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This is a technical lead position, working with both junior and senior ML engineers/researchers, and product engineers, in a cross functional settings. You core responsibilities will be: (Hands on) Lead or co-lead the design, implementation, and testing, of algorithms, methods, and systems for ML based personalization, memory, diagnostics, and reasoning. It entails working with multi-functional engineering teams, defining dependencies with other teams, defining API’s and developing technical agreements. You will be expected to stay up to date up and monitor the latest developments in ML and explore their possible application to Apple products and services.
- Strong ML expertise and deep understanding of the ML fundamentals including mathematics, architectures, representation and reasoning, generation/diffusion processes, and diagnostics
- Strong Computer Science algorithmic and theory knowledge, and strong statistical fundamentals.
- 7 Years experience on training, evaluating, and characterizing ML models and end to end systems
- 5 Years of experience in at least one domain of application for ML: NLP, Computer Vision, reinforcement learning. A deep understanding of the applications, challenges, and opportunities in these domains.
- Ability to distill and formulate a vision and requirements from a vague desiderata description of a project outcome
- Excellent leadership and communication skills
- Good programming skills in python, pytorch or related high level languages
- PhD in CS, ECE, Statistics, or equivalent industrial experience.
- Proven leadership in shipping/designing ML based products.
- Experience with cross-functional projects, including de-risking and scoping.
- Strong understanding of end to end systems.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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