senior Machine Learning Engineer ic 5+ yrs Master's · Posted Jun 15, 2026

About this role

Apple is hiring a senior-level Machine Learning Engineer based in Zurich, Switzerland. The posting calls out experience with Python, PyTorch, pandas, Computer Vision and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent.

Role
Machine Learning Engineer
Function
machine learning
Level
senior
Track
Individual contributor
Location
Zurich, Switzerland
Work mode
On-site
Experience
5+ years
Education
Master's degree
Department
Hardware
Posted
Jun 15, 2026
AI Summary
Senior ML Engineer developing next-generation video and motion analysis/synthesis using Computer Vision and Machine Learning. Lead large-scale projects combining modern ML with geometric knowledge. Requires 5+ years industry experience, Python, deep learning frameworks, and strong communication skills.

Job description

from Apple careers

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.
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.
<h3>Minimum Qualifications</h3>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
<h3>Preferred Qualifications</h3>Willingness to pick up novel tasks and acquire new skills
Excellent collaboration and teamwork skills
Scientific mindset and data-driven approach to problem solving

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