Meta AR/VR Job | Machine Learning Data Infrastructure Lead
Job（岗位）: Machine Learning Data Infrastructure Lead
Type（岗位类型）: Engineering
Citys（岗位城市）: Sunnyvale, CA
Date（发布日期）: 2022-1-24
Summary（岗位介绍）
FRL 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 FRL Technology Engineering Team has the responsibility for taking breakthroughs in core technology and delivering them to market at scale. The Image Quality Testing team seeks a Data Acquisition Lead who has extended experience in generation of training and test data sets for Photographic Imaging supporting ML/AI algorithm development.
Investigate & leverage state-of-the-art imaging software simulation & hardware tools to enable novel camera HW explorations, machine learning dataset generation, and product architecture tasks for consumer products.
Qualifications（岗位要求）
Bachelors in Computer Science, Electrical Engineering, Imaging/Color Science, Photography, Mechanical, Optical, or related fields
Experience with machine learning and other statistical pattern recognition systems
Experience with multi-camera capture system prototyping
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, bring up, 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）
PhD in Computer Science, Electrical Engineering, Imaging/Color Science, Photography, Mechanical, Optical, or related fields
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 pandas
Experience as an engineering manager
Experience with camera optics, sensor, and image formation process, physically based scene rendering and simulation methods to simulate RAW image
Experience in multi-camera capture system prototyping including 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 software tools and workflow to control/trigger off-the-shelf cameras in field capture scenarios (e.g. MATLAB/Python/C++)
