Do you have a passion for computer vision and deep learning problems? Are you interested in the latest development of the multi-modal models?
The Data Analytic and Quality (DAQ) group is seeking a Machine Learning- Data Scientist to specialize in the evaluation of multimodal foundation models.
This role involves collaboration with teams at Apple focused on developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers.
Your primary responsibilities will include developing methods for the evaluation and improvement of foundation models, as well as refining the data used in training them, utilizing data centric AI approaches.
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
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
• Minimum requirement of a bachelor's degree.
• Background in data science, machine learning, computer vision, and statistical data analysis.
Preferred Qualifications
• 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.
• Diligent 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.
• Experience presenting data to collaborators.
• Familiar with machine learning interpretability methods is a big plus.
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.
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Last updated : 2024-08-27
Location: Sunnyvale, CA
Posted: Aug. 28, 2024, 11:03 p.m.
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