**Summary**
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion for problem-solving and dedication to your job, and there's no telling what you could accomplish. We advance the state of the art to improve the lives of our customers worldwide. The European Vision Group (EVG) is dedicated to fundamental and applied research in Computer Vision and Machine Learning, with a focus on enriching human communication.


Our team has delivered groundbreaking human-centric vision technologies used by millions worldwide, including Persona for Apple Vision Pro, Portrait Mode, FaceTime Eye Contact, Animoji and ARKit. These innovations are the result of world-class research combined with world-class engineering.


We are seeking a senior Machine Learning engineer who is passionate about shaping the future of Apple products and excited to contribute to the next wave of transformative Computer Vision experiences.


Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.


**Description**
You will be working on next generation video and motion analysis&synthesis projects in our Machine Learning and Computer Vision research and development team in Zurich, Switzerland, combining modern Machine Learning approaches with geometric knowledge from Computer Vision and Computer Graphics. We are improving existing technology as well as developing completely new approaches to enhance the way we interact with devices. Because we integrate tightly with the hardware platform and even influence its design we are able to create products that are extremely fast, power efficient, and accurate.


This position requires highly-motivated individuals who want to join us in the fast-moving field of large-scale models for human-centric 3D and 4D representations. In your role, you will own product-relevant features, lead projects as an innovator and technical expert, and assume responsibility for architectural decisions. Your impact will reach beyond organizational boundaries and set the direction for future products.


**Minimum Qualifications**

- In-depth understanding of Machine Learning principles
- In-depth understanding of 3D Geometry, Motion Synthesis and Computer Vision
- Strong understanding of generative models and/or multi-modal foundation models
- Experience in working on large-scale projects with good software development principles
- Experience in lead architect role, leading large-scale projects and influencing product directions
- Experience in Python, deep learning and data analysis frameworks (PyTorch, pandas, and similar)
- Strong written and verbal communication in English
- 5+ years of industry experience
- Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus.
- PhD or Masters degree in Computer Science, Machine Learning, Computer Vision, Computer Graphics, Data Science or equivalent

**Preferred Qualifications**

- Willingness to pick up novel tasks and acquire new skills
- Excellent collaboration and teamwork skills
- Scientific mindset and data-driven approach to problem solving

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.


At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.


Learn about accessibility in Apple’s workplace


Role Number: 200668407-4170