Apple Inc. Sunnyvale , CA 94085
Posted 4 days ago
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)
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
Pay & Benefits
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Apple Inc.