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Apple Applied Sensing & Health Machine Learning Scientist 
United States, California, San Diego 
669086190

23.11.2024
Description
In this position, you will be working on motion health technologies. Roles and responsibilities include:
Minimum Qualifications
  • Background in machine learning/statistical modeling, multi-modal sensing and/or computer vision
  • Experienced and intuitive understanding of biomechanics, engineering mechanics, or inertial sensing
  • Enthusiasm for health tracking technology
  • Excellent interpersonal skills and communication (written and verbal).
  • Strong working knowledge of Python
Preferred Qualifications
  • Strong analytical and problem-solving skills
  • Excellent interpersonal skills and communication (written and verbal)
  • You are upbeat, adaptable, and results oriented with a positive attitude
  • Experience with C++ a plus
  • PhD or 5+ years research experience in Machine Learning, Computer Science / Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or related field with relevant domain knowledge.
  • Coursework or experience in some of the following: machine learning, signal processing, biomechanics, controls, dynamics, statistics, programming.
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 $135,400 and $204,000, 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.