Apple | Data Analytics Software Engineer | Cupertino, CA | United States | BigDataKB.com | 11/13/2022

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Job Location: Cupertino, CA

Summary

Posted: Nov 3, 2022
Weekly Hours: 40
Role Number:200439659
The CoreMotion team has created innovative ways for users to improve their health with their devices through motion. When you exercise and move with your devices, it’s the work of engineers and scientists on this team. As a member of our dynamic group, you will have the rare and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple’s customers every single day. Join our CoreMotion team and enrich lives by shipping software that motivates fitness goals, improves health, and enhances the way customers interact with our products!

Key Qualifications

  • Proficient at one or more of the following domain: signal processing, sensor fusion, health analytics, statistics, data mining
  • Interest or experience in implementing and supporting highly scalable systems
  • Interest or experience in analyzing and working with large data sets, and proficient at data visualization
  • Proficient at programming in Python for quantitative analysis on large-scale data
  • Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, indices, familiarity with AWS services/API such as S3 is a plus
  • Experience building iOS App, and with C++ is a plus
  • Experience in job scheduling, and stream processing knowledge with Spark framework is a plus
  • Preferred applied experience with machine learning, and building models on large datasets
  • Continuous learning and improvement mindset, willing to push yourself outside of your comfort zone

Description

In this role, you will be highly involved in driving design data quality and algorithm performance to develop our next generation of Health and Fitness features. This includes evaluating large user study datasets, design reviews, algorithm testing, bug reporting and triaging. Key responsibilities of this role are: Profile, process and evaluate large structured and unstructured motion datasets Challenge the design and implementation in the most logical way; design and perform analytics for algorithm verification and validation Create ETL to automate monitoring of quality assurance metrics to constantly track feature performance Participate and present in user study review, code review, and data review Communicate with upstream component (e.g. Hardware) and downstream component (e.g. App) to drive end to end user experience

Education & Experience

BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent

Additional Requirements

  • Passionate about health and fitness technologies




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