Machine Learning Engineer

San Diego, California, United States
Machine Learning and AI

Summary

Posted:
Role Number:200536690
Do you want to help reduce carbon emissions worldwide? If so, we are looking for an ML Engineer to help us build customer facing features to achieve this goal! Some of the features we’ve already released include Clean Energy Charging and the Grid Forecast Widget. We have many exciting features on our road map, and we are looking for someone who can help us investigate emerging technologies and develop next-generation products. The ideal candidate thrives in ambiguity and is passionate about creating new products with meaningful and disruptive impact to the world!

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

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. Apple is committed to creating a diverse working environment for everyone and is proud to be an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, age, veteran or immigrant status.

Education & Experience

5+ years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar

Additional Requirements

Pay & Benefits