12 jobs for "Machine Learning Engineer, Content Understanding"

Machine Learning Engineer Graduate (TikTok - Data - Search - Search Quality) - 2027 Start

At TikTok - San Jose

Posted on Oct 16

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Machine Learning Engineer Intern (E-Commerce Recommendation/Search Alliance) - 2027 Summer

At TikTok - Seattle

Posted on Oct 16

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Machine Learning Engineer with Focus on Generative 3D Representations - Europe Vision Group

At Apple

Posted on Oct 19

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Machine Learning Engineer with Focus on Generative 3D Representations - Europe Vision Group

At Apple - Zürich

Posted on Oct 19

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Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval

At Apple - Cupertino

Posted on Oct 19

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Machine Learning Engineer with Focus on Generative 3D Representations - Europe Vision Group

At Apple

Posted on Oct 16

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Senior Machine Learning Engineer

At Apple - Cupertino

Posted on Oct 16

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Sr. Machine Learning Engineer

At Apple - Santa Clara

Posted on Oct 15

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Machine Learning Engineer, Video Engineering

At Apple - Sunnyvale

Posted on Oct 10

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Senior Machine Learning Engineer

At Apple - Cupertino

Posted on Oct 16

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Sr. Machine Learning Engineer

At Apple - Santa Clara

Posted on Oct 15

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Xcode Intelligence Foundation Engineer

At Apple - Cupertino

Posted on Oct 15

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Apple

Machine Learning Engineer with Focus on Generative 3D Representations - Europe Vision Group

Posted 23 days ago

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Why you should apply for a job to Apple:

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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 researcher/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.

Description
You will be working on next generation 3D representation and generative modeling 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. As a member of the algorithm development team, your objective is to accelerate our development cycle through the design of innovative tools to develop, monitor and improve the quality of our models.

This position requires highly-motivated individuals who want to join us in the fast-moving field of large-scale models for 3D representations. You will be responsible for developing, implementing, evaluating, and improving machine learning algorithms that model 3D content in complex and diverse scenarios.

Preferred Qualifications
Publication record at top conferences such as CVPR, ECCV , ICCV , NeurIPS or SIGGRAPH is a plus
Experience in the industry is a plus

Minimum 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

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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