Deep Learning Jobs in Zürich
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Suchergebnisse - Deep Learning Jobs in Zürich
Apple Inc.-Zürich
developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
Description
We believe that the most interesting problems in deep learning research arise...
appcast.io -
Distran AG-Zürich
Design, implement, and optimize machine learning models for quantitative tasks in ultrasound imaging and leak detection. Navigate efficiently through a variety of machine learning, statistical, and deep learning techniques to identify the most suitable...
Firstmomentum-Zürich
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power.
Our customers already face this problem...
Microsoft-Zürich
cross-functionally to shape the broader Microsoft robotics and virtual agents' strategy and Spatial AI Lab role in realizing it.
• Stay abreast of the latest developments in the industry and the latest research in deep learning, robotics, and embodied AI...
Daedalean AG-Zürich
About us:
Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for...
appcast.io -
Apple Switzerland AG-Zürich
models to ship features to millions of users. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by...
jobup.ch -
Daedalean AG-Zürich
About us:
Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for...
appcast.io -
Deep Learning Stellenangebote – Weitere Orte:
ETH Zürich-Zürich
Student assistant – Tree species detection using deep-learning
20%-30%, Zurich, fixed-term
The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species...
surfingwave.app -
Luminary Group-Zürich
experience in machine learning, data science, or a related field, with a focus on healthcare and real-world evidence (RWE).
3. Proven track record of leading and managing high-performing teams in machine learning or data science.
4. Deep understanding of...
Disney-Zürich
Preferred Qualifications
Demonstrated software engineering experience via an internship, work experience, coding competitions, or published papers.
Experience within machine learning (particularly deep learning), rendering, computer vision, image...
Apple Inc.-Zürich
and/or decision making in the context of agentic reasoning
• Experience using deep learning toolkits PyTorch or JAX.
• Detailed knowledge of programming languages Python or Swift.
#J-18808-Ljbffr...
appcast.io -
Daedalean AG-Zürich
About us: Daedalean
is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for...
Luminary Group-Zürich
learning, data science, or a related field, with a focus on healthcare and real-world evidence (RWE).
• Proven track record of leading and managing high-performing teams in machine learning or data science.
• Deep understanding of machine learning...
Lightly AG-Zürich
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power.
Our customers already face this problem...
appcast.io -
Firstmomentum-Zürich
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power.
Our customers already face this problem...
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