Seeking a full-time onsite ML/AI Engineer to manage data processing pipelines and develop algorithms for identifying visual artifacts and display performance issues within the Display Systems Engineering Team at Reality Labs Hardware.
Key responsibilities
Own end-to-end data processing pipelines for display system characterization data across multiple product builds
Develop ML/AI algorithms to automatically identify and classify visual artifacts, display defects, and performance anomalies
Create data visualization dashboards and reporting tools to communicate display quality metrics to cross-functional teams
Required qualifications
M.S. or Ph.D. in Electrical Engineering, Computer Science, Optical Engineering, Applied Physics, or a related quantitative field
3+ years of experience in ML/AI algorithm development for image processing and sensor data analysis
Strong proficiency in Python and experience with ML frameworks such as PyTorch
Experience with image processing and computer vision techniques including feature detection and classification
Demonstrated ability to build and maintain data processing pipelines for large-scale experimental or manufacturing data