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Apple Machine Learning Engineer United States, California, Cupertino 529071464
03.08.2025
- MS or PhD in quantitative modeling and data science discipline (machine learning, statistics/biostatistics, epidemiology)
- Strong background in developing machine learning and/or deep learning models, preferably with time series data
- Experience in defining hypotheses, design of experiments, testing, and proving hypotheses
- Experience implementing prototypes in Python and/or MA TLAB, assessing performance, and doing failure analysis
- Strong verbal and written communication skills
- You have demonstrated the ability to break down complex requirements into independent components for the purpose
- of building modular systems and software
- You have experience converting desired outcomes into specs, and evaluating trade-offs between different operating
- points
- You appreciate the computational and storage complexities that come with modeling using large datasets
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses.
- You have experience working with cross-functional and/or interdisciplinary teams
- You understand the role feedback plays in your growth, and how effective communication affords more feedback
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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