Meta AR/VR Job | Photographic Imaging Machine Learning Data Infra Lead

Job(岗位): Photographic Imaging Machine Learning Data Infra Lead

Type(岗位类型): Hardware

Citys(岗位城市): Sunnyvale, CA

Date(发布日期): 2022-4-13

Summary(岗位介绍)

RL brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Meta’s mission of connecting the world. The RL Technology Engineering Team has the responsibility for taking breakthroughs in core technology and delivering them to market at scale. The Photographic Imaging team seeks a Data Infra Lead who has extended experience in generation of training and test data sets for Photographic Imaging related ML/AI algorithm development.

Qualifications(岗位要求)

Bachelors in Computer Science, Electrical Engineering, Imaging/Color Science, Photography, Mechanical, Optical, or related fields.

Knowledge of machine learning and other statistical pattern recognition systems.

Knowledge of multi-camera capture system prototyping and calibration.

Experience partnering with algorithm development groups.

Description(岗位职责)

Build ML/AI Data Services Team with the core role of providing Data ACQ/Generation, Data Science, Annotation, & Analysis for Photographic Imaging supporting ML/AI algorithm development.

Formalize strategic data services plan with stakeholders to support new ML/AI research technology initiatives that will intersect with future products.

Develop with the support of system engineering and architecture teams capture rig setup, calibration, & pipeline integration to ML/AI algorithm development.

Work with external vendors and internal teams to design, procure for, and manage automation for data acquisition or generation in image quality labs contributing to camera architecture, bringup, tuning, and qualification.

Collaborate with development teams to set and monitor KPI’s for training and testing providing data science, annotation, and analysis services.

Additional Requirements(额外要求)

Masters or PhD in Computer Science, Electrical Engineering, Imaging/Color Science, Photography, Mechanical, Optical, or related fields or equivalent practical experience.

Experience in image quality subjective & objective analysis, computer vision, image processing, machine learning and other statistical pattern recognition systems.

Experience in data analyst/engineer/scientist role familiar with Python and at least one data analysis tools such as JMP.

Strong understanding of camera optics, sensor, and image formation process, physically based scene rendering and simulation methods to simulate RAW image.

Experience working with mechanical, electrical, camera, and AI/ML engineering teams to define, iterate, and refine on practical custom capture systems used to gather AI/ML data in field.

Experience developing usable, efficient, and reliable tools and workflow to control/trigger off-the-shelf cameras in field capture scenarios (e.g. MATLAB/Python/C++).

Experience implementing custom multi-camera calibration workflow needed to photometrically and geometrically register field-captured image content for AI/ML training purposes (e.g. OpenCV, Ceres Solver, etc.).

Long track-record or demonstrated skill as engineering manager.

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