Data Engineer (AI/ML) III is sought to drive the development of machine learning solutions and scalable data processing pipelines that enhance the visual quality, performance, and reliability of next-generation AR display systems within Reality Labs Hardware. The ideal candidate will bring deep expertise in machine learning, computer vision, image and signal processing, and large-scale data engineering, along with a proven track record of delivering production‑ready ML algorithms, automated analytics pipelines, and data-driven insights for hardware systems.
Data Engineer (AI/ML) III is sought to drive the development of machine learning solutions and scalable data processing pipelines that enhance the visual quality, performance, and reliability of next-generation AR display systems within Reality Labs Hardware. The ideal candidate will bring deep expertise in machine learning, computer vision, image and signal processing, and large-scale data engineering, along with a proven track record of delivering production‑ready ML algorithms, automated analytics pipelines, and data-driven insights for hardware systems.
Pay Rate: $50 - $54 per hour, depending on experience. Duration: 12 months
We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.
Responsibilities - Own end-to-end data processing pipelines for display characterization data, including sensor images, metrology measurements, and manufacturing yield data. - Develop ML/AI algorithms to detect, classify, and analyze visual artifacts, display defects, and performance anomalies. - Build automated analysis tools for disparity sensor evaluation, including SNR estimation, pattern detection accuracy, and ambient cross-talk assessment. - Design and implement anomaly detection models to identify display performance regressions across manufacturing and integration testing. - Create dashboards and visualization tools to communicate display quality metrics and engineer
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Pay Rate: $50 - $54 per hour, depending on experience. Duration: 12 months
We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.
Responsibilities - Own end-to-end data processing pipelines for display characterization data, including sensor images, metrology measurements, and manufacturing yield data. - Develop ML/AI algorithms to detect, classify, and analyze visual artifacts, display defects, and performance anomalies. - Build automated analysis tools for disparity sensor evaluation, including SNR estimation, pattern detection accuracy, and ambient cross-talk assessment. - Design and implement anomaly detection models to identify display performance regressions across manufacturing and integration testing. - Create dashboards and visualization tools to communicate display quality metrics and engineer
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Based on: Data Engineer (AI/ML) III
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