ISE, SIML - Data and Tools Engineer

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI

Summary

Posted:
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. Our 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 experience in web development (backend + frontend)
  • 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 ambitious, pragmatic and passionate about results
  • You show strong communication skills and proactivity

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: - Work with R&D and product teams to capture functional specifications for a failure analysis framework that continuously tests successive versions of various models. The framework is integrated into the R&D workflow and accommodates different types of data (starting with visual assets and text) and models (eg classification, detection, segmentation, clustering...) - Lead the architecture and implementation of FA framework: testing framework, reporting tools & data visualization tools, with a web front-end. In this position, you will interact with the SIML infrastructure team and with R&D DRIs.

Education & Experience

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

Additional Requirements

  • Experience in iOS/macOS development is a plus