Computer Vision Data Scientist
Location
Cupertino, CA | United States
Job description
Summary
Do you have a passion for computer vision and deep learning problems?
The Video Engineering Data Analytic and Quality (DAQ) group is looking for a data scientist with a strong emphasis on deep system understanding through data analysis. In this role, you will collaborate with multiple teams (machine learning, quality assurance, cloud infrastructure support, user studies). We work on multiple, related projects requiring a bit of creativity and ingenuity. You will partner with video computer vision teams to improve algorithm quality and guide feature development with data, to deliver amazing computer vision experiences.
Key Qualifications 3+ years relevant industry experience
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
Advanced programming skills in data manipulation & processing (SQL & Python preferred)
Proven expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
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
Description Video Engineering DAQ team is seeking a self-motivated data scientist to research and develop evaluation methods to drive the continuous improvement for Apple's wide variety of computer vision projects. You will deeply understand algorithm module and design intermediate metrics to evaluate algorithm from telemetry (on-device logging data). You will identify core metrics to track usage and performance for computer vision algorithms on large scale data, and conduct deep-dive failure analysis to find the potential root cause of unexpected performance. You will build and maintain automated pipeline and dashboard for analyzing and visualizing data and present your meaningful findings to communicate up leadership and cross-functional teams.
Education & Experience BS and a minimum of 3 years relevant industry experience
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