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Apple Data Scientist 
United States, California, Sunnyvale 
692586703

27.06.2024
Minimum Qualifications
  • BS and a minimum of 4 years relevant industry experience.
  • Solid background in data science, machine learning, Computer vision and statistical data analysis
  • Advanced programming skills in data manipulation & processing (SQL & Python preferred)
  • Demonstrated experience in in-depth analysis of machine learning model failures
Preferred Qualifications
  • Experience crafting, conducting, analyzing, and interpreting experiments and investigations
  • Proven expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
  • Detail-oriented to keep track of and understand the workings of complex algorithms
  • Self-motivated and curious with creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs
  • Outstanding verbal and written communication skills, along with strong collaborative abilities
  • Experience presenting data to stakeholders
  • Familiar with machine learning interpretability methods is a big plus
  • Familiarity with various foundation models, such as SAM, LLAMA, LLaVA, CGPT4V, CLIP is nice to have
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 $132,300 and $241,500, 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.