ISE, SIML - Data and Tools Engineer

    • Cupertino, CA

Summary

Posted: Apr 29, 2020

Weekly Hours: 40

Role Number: 200141506

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people capture, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence and Machine Learning (SIML) group is responsible for crafting machine learning solutions to extract high level structure information from images, videos and text shipping on all Apple platforms (macOS, iOS, tvOS, watchOS). Examples include face recognition, scene classification, OCR, handwriting recognition as well as the support for internal tools. The group combines research and development in a dynamic and engaging environment. Particularly, our SIML data team is responsible for crafting and building high quality datasets at scale. At the heart of machine learning, data defines how Apple features and products operate and what is the final user experience that will impact millions of our customers. This is an exciting time to join us: grow fast, and have an impact on multiple key features on your first day at Apple!

Key Qualifications

  • You have strong Python coding skills which enable you to manipulate data at scale & to run ML models
  • You have creativity and a good sense of product, and you build tools/frameworks that are impactful and convenient to use by different types of end users
  • You're results-oriented, pragmatic and passionate about results
  • You are a natural tool builder and enjoy automating data pipelines and removing manual touch points from sophisticated systems
  • You show strong communication skills and enjoy working on cross functional projects
  • You are passionate about software craftsmanship and can collaborate well with the other software engineers on the team to build reliable data pipelines


Description

Our team focuses on data collection/generation, smart filtering/selection, annotation, as well as failure analysis (FA). Each year, we power dozens of features and work closely with ML teams across the entire company. Apple's commitment to deliver incredible experiences to a global and diverse set of users in full respect of their privacy leads our team to explore innovative data collection processes. This position is associated with the following responsibilities: • Contribute to our software stack used for selecting, filtering and annotating data assets used by various R&D teams at Apple • Contribute to our initiatives to speed up the throughput of our data pipelines and improve the quality of the resulting data artifacts • Design all tools and processes to be scalable and reusable, whenever possible • Contribute to our testing framework, reporting tools & data visualization tools • Help design and develop new software architectures for data processing and pipelining In this position, you will interact with the SIML infrastructure team and with R&D engineers.

Education & Experience

Bachelors or Masters in Computer Science, Mathematics, Physics, or a related field (or equivalent practical experience)

Additional Requirements

  • Experience with statistical models, machine learning, data analysis is a plus


Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

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