ML - Data Scientist

Apple

Apple

Software Engineering, Data Science
Sunnyvale, CA, USA
Posted on Friday, June 14, 2024

Summary

Posted:
Role Number:200554894
Do you have a passion for computer vision and deep learning? The Video Engineering Data Analytics and Quality (DAQ) group is looking for a data scientist with a strong ability to identify and communicate patterns in data and model behavior. In this role, you will collaborate with multiple teams (machine learning, quality assurance, cloud infrastructure support, user studies) to improve algorithm quality and guide feature development with a data driven approach in order to deliver amazing computer vision experiences.

Description

Video Engineering DAQ team is seeking a self-motivated, detail-oriented data scientist to research and develop evaluation methods to drive the continuous improvement for Apple’s wide variety of computer vision projects. You will gain a deep understanding of various Apple algorithms and be tasked with performing deep-dive failure analysis on data from telemetry (on-device logging data) to large scale user studies to find potential root causes of unexpected algorithm performance, and you will routinely present your results to leadership and cross-functional teams. Moreover, a strong coding background will be required as you will also be tasked with developing and maintaining automation pipelines to analyze and visualize data.

Minimum Qualifications

  • BS and a minimum of 3 years relevant industry experience
  • Solid background in data science, machine learning, Computer vision and statistical data analysis.
  • Advanced programming skills in data manipulation & processing (SQL & Python preferred)

Key Qualifications

Preferred Qualifications

  • Solid background in data science, machine learning, Computer vision and statistical data analysis
  • Demonstrated experience in in-depth analysis of machine learning model failures
  • Experience crafting, conducting, analyzing, and interpreting experiments and investigations
  • Proven expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
  • Detail-oriented to keep track of and understand the workings of complex algorithms
  • Self-motivated and curious with creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs
  • Outstanding verbal and written communication skills, along with strong collaborative abilities
  • Experience presenting data to stakeholders
  • Familiar with machine learning interpretability methods is a big plus

Education & Experience

Additional Requirements

Pay & Benefits

  • 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. Learn more about your EEO rights as an applicant.