Generative 3D Vision ML Engineer

Apple Inc.; Zürich; On-site; CHF 140,000 - 210,000; Full time

Job summary

Apple Inc. in Zurich is seeking a Machine Learning Engineer focused on generative 3D representations. You will design, implement and evaluate ML algorithms that model 3D content, working closely with graphics and vision researchers to accelerate the development cycle.

Qualifications include strong grounding in ML principles, 3D geometry, and experience with Python and PyTorch. Excellent collaboration and English communication are essential; publication records are a plus.

Qualifications

• In-depth understanding of Machine Learning principles.
• In-depth understanding of 3D geometry, 3D representations, and computer vision.
• Strong understanding of generative models and/or multi-modal foundation models.
• Experience in Python, deep learning and data analysis frameworks (PyTorch, pandas, and similar).
• Experience in working on large scale projects with good software development principles.
• Scientific mindset and data-driven approach to problem solving.
• Excellent collaboration and teamwork skills.
• Willingness to pick up novel tasks and acquire new skills.
• Strong written and verbal communication in English.

Responsibilities

• Develop, implement and evaluate ML algorithms that model 3D content.
• Collaborate with vision, graphics and software teams to accelerate development cycles.
• Design tools to monitor and improve model quality in production-like settings.

Skills

Machine Learning

3D geometry

Generative models

Python & PyTorch

Large-scale projects

Collaboration

English communication

Tools

PyTorch

Pandas

Job description

Apple Inc. in Zurich is seeking a Machine Learning Engineer focused on generative 3D representations. You will design, implement and evaluate ML algorithms that model 3D content, working closely with graphics and vision researchers to accelerate the development cycle.

Qualifications include strong grounding in ML principles, 3D geometry, and experience with Python and PyTorch. Excellent collaboration and English communication are essential; publication records are a plus.