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Apple Machine Learning Engineer United States, California, Cupertino 194839095
18.11.2024
Minimum Qualifications
- MS 5+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science).
- Strong background in developing machine learning and/or deep learning models, preferably with time series data.
- Strong proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow
Preferred Qualifications
- Ph.D or 5+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science).
- You can form hypotheses, and can creatively apply different statistical approaches to the data in proving the hypotheses.
- You appreciate the computational and storage complexities that come with modeling using large datasets.
- You leverage distributed compute/storage models when the scale of data calls for it.
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses.
- You understand the role feedback plays in your growth, and how effective communication affords more feedback opportunities.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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