15 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

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ictjobs.ch —Winterthur, ZH
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Senior Machine Learning Engineer in Human-Centric Computer Vision

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 7 Stunden

Qualifikationen

Doktorat
Datenanalyse
Englisch
Master
Geometrie
Softwareentwicklung
Kommunikationsfähigkeit
Python
Computergrafik

Vollständige Stellenbeschreibung

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.

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

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

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in kanton zürich

Senior Machine Learning Engineer in Human-Centric Computer Vision

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Senior (Gen)AI Engineer (all genders)

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Data Architect mit einem Flair für AI

Senior (Gen)AI Engineer (all genders) 80–100%

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