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Apple Machine Learning Scientist United States, California, Cupertino 787939571
05.09.2024
Description
Develop innovative algorithms for extracting insight from sensor and health data and optimizing performance using machine learning/deep learning on large data resourcesAnalyze and improve efficiency and stability of algorithms deployed to user devices
Minimum Qualifications
- Excellent programming skills in relevant languages (e.g., Python), and machine learning frameworks (e.g., PyTorch or TensorFlow).
- Experience with signal processing, machine learning, statistical analysis and scientific reasoning
- Hands-on experience with large scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark) and crafting/optimizing scalable frameworks to run machine learning experiments
- Outstanding interpersonal and communication skills, able to communicate sophisticated topics to people from a variety of backgrounds and adapt to different audiences
- BS and a minimum of 3 years relevant industry experience
Preferred Qualifications
- Experience with algorithm design for health sensing, knowledge of human physiology
- Previous experience crafting data collection studies, and analyzing data quality and usability
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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