Machine Learning Research

Vor 2 Tagen

München, Deutschland Apple Vollzeit

We're seeking research scientists and engineers to create breakthrough innovations in computer vision, machine learning, robotics, computer graphics, and related areas. We are particularly interested in photorealistic image synthesis, frontier models (including large multimodal models), agentic workflows, robotics, and the interface of AI and science. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

**Description**

We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values: - Passion for the mission: We’re here to make something extraordinary. We seek whatever work is right and strive for the best possible results. - Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. - Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

**Minimum Qualifications**
- Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
- Solid software engineering skills in complex, multi-language systems. Fluency in Python.
- Expertise in ML algorithms and top practices for working with deep learning systems.
- Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.).
- Strong overall software development approach. You deliver clean, well-tested code.

**Preferred Qualifications**
Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering/Mechanical Engineering or equivalent academic or professional experience.

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