Machine Learning Engineer
San Diego, California, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Apr 26, 2024Role 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
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 $161,700.00 and $284,900.00, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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.
Tags: Classification Clustering Data analysis Data visualization Engineering Machine Learning Python Statistics
Perks/benefits: Career development Health care Relocation support
Region:
North America
Country:
United States
Job stats:
14
4
0
Categories:
Engineering Jobs
Machine Learning Jobs
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