Maps Senior Machine Learning Engineer

Cupertino, CA 95014
  • Job Code
    200161686
Summary

Summary

Posted: Jun 15, 2020

Weekly Hours: 40

Role Number:200161686

At Apple Maps, our mission is to build and maintain an accurate digital representation of the entire Globe. It ...Summary

Summary

Posted: Jun 15, 2020

Weekly Hours: 40

Role Number:200161686

At Apple Maps, our mission is to build and maintain an accurate digital representation of the entire Globe. It is one of the most challenging large-scale problems in the world. We ingest a staggering amount of data and wish to discover new ways to use that data to improve the customer experience.

Maps POI ML Engineering team collaborates with the data science teams to productionize, scale and deploy machine learning models that improve the quality of Points of Interests data in Apple Maps. In this role, you would enjoy working in highly technical team, where everyone learns from each other's unique skills and knowledge. Your bias for action means you thrive in an environment where you can get things done. We encourage and respect critical thinking. Challenge yourself, challenge the data, challenge us.

Key Qualifications

  • ML engineering or data engineering background with more than 5 years of industry experience
  • Strong coding skills in Python, Scala and/or Java
  • Track record of designing, implementing and deploying scalable, performant ML or ETL pipelines
  • Hands-on experience with machine learning frameworks and libraries (e.g. Tensorflow and scikit-learn) is a plus
  • Strong understanding of the system design and inner workings of the systems
  • Strong communication and analytical skills

Description

The successful candidate will join our POI Machine Learning Engineering team. We're responsible for leveraging statistical models and machine learning to identify and fix data inconsistencies of our digital maps with the real world. You rigorously demonstrate coding best practices, while moving flexibly among technologies and programming languages. You will design and implement statistical and machine learning workflows on massive data. You will work cross-functionally to drive platform architecture and design, analyzing data, and producing insights. You will coordinate with data scientists to facilitate experimentation/prototyping.

Education & Experience

MS degree in computer science or related with 7+ years of experience or PhD with 4+ years

Additional Requirements

  • Apple's most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We're proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company's success. You'll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
  • Apple benefits programs vary by country and are subject to eligibility requirements.


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Maps Senior Machine Learning Engineer

Apple, Inc.
Cupertino, CA 95014

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