Computer Vision Research Engineer

5 days ago

Cupertino, California, United States Apple Full time $120,000 - $180,000 per year
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something.

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

We at the 3D Vision team at Apple Maps are looking for the very best talent to join our team of computer vision and machine learning experts. With us, you will be working on ground breaking technology by researching and developing new methods and algorithms deployed on a global scale 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.
Masters degree Computer Vision / Machine Learning / AI / Computer science / Electrical Engineering or related field + 2 years experience

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.
PhD degree in Computer Vision / Machine Learning / AI / Computer science / Electrical Engineering or related field

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