Computer Vision & Machine Learning Engineer - BodyUnderstanding (m / f / d)

Machine Learning andAI

CV / MLEngineer

Imagine what you could do here. AtApple, new ideas have a way of becoming extraordinary products,services, and customer experiences very quickly. Bring passion anddedication to your job and there's no telling what you couldaccomplish. Multifaceted, amazing people and inspiring, innovativetechnologies are the norm here. The people who work here havereinvented entire industries with all Apple Hardware products. Thesame passion for innovation that goes into our products alsoapplies to our practices strengthening our commitment to leave theworld better than we found it. Join us to help deliver the nextgroundbreaking Apple product! Do you love working on challengesthat no one has solved yet? At Apple, we are pushing the boundaryof what is possible to improve the lives of our customers. Are youeager to work at the intersection of Computer Vision and DeepLearning, on projects that turn technical innovation into Appleproducts which touch the lives of millions of people? Then join theMunich Vision Lab as a CV / ML Engineer.

Our teamhas brought to life the Persona technology that powers FaceTime onApple Vision Pro. Help us develop groundbreaking technology inreal-time image-based pose and shape recovery for more human bodyunderstanding use cases. We are looking for candidates withoutstanding technical expertise, ideally with a track record inalgorithm development for image-based deep learning, multimodalfoundation models, multi-view geometry, human motion capture, or ahighly related discipline. You should be able to quickly prototypedifferent algorithm solutions, but also to elevate them toproduction standard. Join us for the rare opportunity to work oncomputer-vision-driven products that go beyond the state of the artand that delight and inspire millions of Apple’s customers everysingle day.

Description

Inthis role as a CV / ML engineer, you will be developing image-basedalgorithms for body understanding. The scope of our teamencompasses the entire project cycle, from the initialcross-functional definition to prototype development, qualityevaluation, and product integration. As the ML algorithms team, weare responsible for sourcing our training data by specifyingrequirements and ensuring their implementation in both real andsynthetic data campaigns. Responsibilities include data handling,including capturing, processing and managing large datasets, datacleaning, transformation, and augmentation, as well as identifyingthe ideal algorithm and model architecture for a particular usecase and hardware configuration.

MinimumQualifications

• Strong theoreticalbackground + practical experience in Deep Learning (including CNNs,Transformers, and self-supervisedlearning)
• Proficiency in PyTorch orTensorFlow
• Solid knowledge in 3D ComputerVision including image formation and multi-viewgeometry
• Solid foundational and applied mathknowledge, particularly around Linear Algebra andOptimization
• Great Python skills for writingefficient and maintainable solutions in larger codebases
• English language fluency (written andverbal)

PreferredQualifications

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