ML Data Scientist - Computer Vision

Summary
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 GenAI models. This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers.



Description
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, applying data centric AI approaches:

-Design and develop image/video analysis (ROI, SOD, content classification, artifact detection, etc.) and quality assessment algorithms
-Participate in crafting testing strategies and solutions for E2E quality evaluation with a combination of image/video analysis, processing, and encoding algorithms
-Conduct detailed failure analysis on large GenAI models and machine learning models in different aspects like Operational/Ethical/Security & Privacy
-Work with developer teams to define and request data to ensure the data coverage
-Prototype novel evaluation and benchmark methods from foundation model literature research
-Develop tools for analyzing and visualizing data
-Design and implement experiments (DOE) for engineering studies and large-scale user studies and analyze results
-Facilitate and support data collection and analysis in collaboration with other groups
-Contribute to defining feature specifications and anticipated user experience based on data insights

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