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Apple Machine Learning Engineer United States, California, Cupertino 312312511
04.04.2024
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Key Qualifications
- A deep understanding of predictive modeling and machine learning algorithms for supervised and unsupervised learning including classification, regression, clustering, etc.
- Excellent knowledge and experience in all major machine learning algorithms, statistical regression and deep learning included.
- Strong production experience training and evaluating ML models with accurate pipelines and metrics
- Proficiency in working with distributed system, Hadoop, Spark, etc.
Description
As a machine learning engineer, you will be focusing on:Working with large volumes of data; extracting and manipulating large datasets using tools such as Spark SQL, command line and scripting languages.Crafting, developing, validating and maintaining big data-driven predictive models, tools and pipelines to improve user engagement using the latest technologies in machine learning, user pattern recognition, and data modeling based on user lifecycle events.Developing infrastructure tools to improve the development, deployment and the full lifecycle of machine learning models.
Education & Experience
Master’s degree or a PhD degree, with a minimum of 3 years of experience.
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 $170,700.00 and $300,200.00, 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.
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