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Apple Machine Learning Engineer 
United States, California, San Diego 
770027842

06.06.2024
Description
As part of the Energy Services Team, you will be responsible for researching new ways to measure emissions and evaluate existing methodologies. Additionally, you will work with data from grid operators and other energy data sources to power new features across Apple’s ecosystem. Your role will require you to explore different ways to evaluate our short-term and long-term impact on the environment. We will help you build consensus for new ideas, based on a data driven story.
Key Qualifications
  • Strong programming background, preferably in Python.
  • Experience with data analysis, data science tools, and data visualization
  • Experience with time series forecasting & evaluation, clustering methodologies and classification models
  • Can drive cross functional consensus through outstanding communication and presentation skills
  • [Preferred] Experience with electricity grid emissions and renewable energy
  • [Preferred] Previous experience as a software engineer
Education & Experience
5+ years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar
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 $161,700 and $284,900, 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.