Apple AR/VR Job | Computer Vision / Machine Learning R&D Engineer
Job（岗位）: Computer Vision / Machine Learning R&D Engineer
Citys（岗位城市）: Sunnyvale, California, United States
Date（发布日期）: 2024-9-23
Summary（岗位介绍）
Apple is seeking an exceptionally creative and innovative Computer Vision and Machine Learning (CVML) R&D Engineer to join a team of industry-leading developers in their pursuit of generative machine learning algorithms for 3D human generation, simulation, and manipulation. You will design and implement ML algorithms and systems while working closely with a small, collaborative team. Be forward-thinking in a fast-paced, start-up-like environment, with a focus on enabling the team to scale productively and efficiently. You will collaborate with cross-functional teams to develop powerful algorithms and systems that power Apple’s next-generation products.
Qualifications（岗位要求）
BS and a minimum of 3 years relevant industry experience.
Excellent programming skills in Python and/or C/C++ in a Linux/and or MacOS environment.
Strong foundation in data structures and algorithms, 3D geometry processing, and linear algebra.
Description（岗位职责）
At Apple, we demonstrate the latest technologies to create incredible user experiences. As a CVML R&D Engineer, you will design and implement generative ML algorithms and systems for 3D synthetic human generation, simulation and manipulation. The potential projects include machine learning-based geometry generation, deformation, simulation, and augmentation, texture generation and synthesis, domain adaptation, and about 3D synthetic human generation. You will work with cross-functional teams in synthetic data, core computer vision algorithms, ground-truth and reconstruction, and application engineering, to develop ground breaking algorithms and systems that power Apple’s next-generation products.
Additional Requirements（额外要求）
MS or PhD in Machine Learning, Computer Science, Computer Graphics, or a related field, or equivalent professional experience.
Deep expertise in computer vision and machine learning, with a strong focus on deep generative models (e.g., GANs, VAEs, diffusion models).
Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums, demonstrating your contributions to advancing the state-of-the-art in computer vision and machine learning, is a plus
Familiarity with modern graphics technology for high-fidelity 3D human generation, such as photogrammetry, anatomy-based rigging, computational hair modeling, physics-based hair/cloth simulation, or physically-based shading, would be a plus
Knowledge of modern vision data visualization methods, such as 3D Gaussian Splatting, neural volume rendering, is a plus
