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

Summary

Posted : Dec 17,2024

Role Number : 200583131

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 ourcustomers.

Are you eager to work at theintersection of Computer Vision and Deep Learning, on projects thatturn technical innovation into Apple products which touch the livesof millions of people? Then join the Munich Vision Lab as a CV / MLEngineer.

Our team has brought to live thePersona technology that powers FaceTime on Apple Vision Pro. Helpus develop groundbreaking technology in real-time image-based poseand shape recovery for more human body understanding usecases.

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 to source 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

• Strongtheoretical background + 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)

KeyQualifications

Education &Experience

Senior (5+ years ofexperience)

Tagged as : Germany , Industry , MachineLearning , NLP , Supervised Learning

J-18808-Ljbffr