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Apple Computer Vision Research Engineer - Apple Maps 3D Team United States, California, Cupertino 986357048
18.11.2024
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Description
You will be a part of a small team with the goal of crafting accurate and hyper-realistic 3D experiences at a global scale. To achieve this, you will help developing novel groundbreaking methods within differentiable rendering (NeRF, Gaussian Splatting, etc.), generative models, and many other areas of computer vision and machine learning.
Minimum Qualifications
- Strong background in Computer Vision and Machine Learning.
- Significant experience in researching and developing innovative approaches within Computer Vision and Machine Learning.
- Solid programming skills.
Preferred Qualifications
- Published papers in top-tier CV/ML conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, Siggraph, etc.).
- Solid experience with deep learning frameworks and infrastructure.
- Experience with modern differentiable rendering methods, such as NeRF, Gaussian Splatting etc., is appreciated.
- Experience with diffusion models or similar is appreciated.
- Knowledge of computer graphics fundamentals is appreciated.
- Solid Python skills.
- Some experience with C/C++.
- Some experience with GPU/graphics languages, such as CUDA, OpenGL or Metal, is a plus.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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