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Apple Senior Machine Learning Engineer/Data Scientist MSO 
United States, California, Cupertino 
860644457

01.06.2024
Key Qualifications
  • 6+ years experience in a data science, machine learning, and model development and deployment.
  • Superb communication, collaboration, and organizational skills.
  • Proficiency in programming with Python, Pandas, and SQL.
  • Familiarity with modern NLP tools and techniques including BERT, LLMs etc. Strong background in this area preferred.
  • Familiarity with AWS tools for machine learning, analytics, and data manipulation.
Education & Experience
• Minimum of a Masters Degree in Statistics, Data Science, Computer Science, or a related field. • Alternatively, a comparable industry career with significant healthcare experience in machine learning and analytics.
Additional Requirements
  • • Familiarity with AWS tools for machine learning, analytics, and data manipulation.
  • • Comfort with working in a fast-paced environment where collaboration between teams is critical.
  • • An understanding of ML model measurement and assessment. Skills in RLHF are considered a plus.
  • • A real passion for innovation and have a knack for seeing around corners.
  • • This is a site based role.
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 and $256,500, 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.