Apple AR/VR Job | Machine Learning Data Pipeline Software Engineer
Job（岗位）: Machine Learning Data Pipeline Software Engineer
Citys（岗位城市）: Sunnyvale, California, United States
Date（发布日期）: 2024-7-19
Summary（岗位介绍）
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will have the opportunity to be part of our extraordinary team of Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges and push the state of the art in Computer Vision / Machine Learning, 3D Reconstruction and Neural Rendering algorithms that will change the way people experience the world!
Qualifications（岗位要求）
3+ years of production experience in pipeline development for synthetic data, feature films, games or VFX with a track record of successful projects
Strong proficiency in Python, writing clean and well structured code
Experience working in distributed data processing
Strong understanding of data structures and algorithms
Passion for delivering high quality software to end-users
Self-motivated with proven ability to effectively prioritize and deliver tasks on schedule
Excellent communication and experience working with cross-functional teams
BS degree
Description（岗位职责）
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Data Pipeline Software Engineer with experience working on automated data processing pipelines at scale. You will work closely with Infrastructure as well as Machine Learning Engineers in a small and dynamic team to develop and scale up solutions to 3D reconstruction, synthetic data and photogrammetry problems for spatial computing applications. In this role, you will perform research and development work to design, implement, benchmark, optimize and distribute large scale datasets for ambitious computer graphics and computer vision projects for Apple Vision Pro.
Additional Requirements（额外要求）
MS or PhD in computer vision, machine learning, computer science, computer engineering or related fields
