Aktuelle Jobs im Zusammenhang mit Intern (Ml Research) - Schlieren - Sony Electronics


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    Schlieren, Schweiz Sony UK Technology Centre Vollzeit

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    Schlieren, Schweiz Sony Electronics Vollzeit

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Intern (Ml Research)

vor 2 Wochen


Schlieren, Schweiz Sony Electronics Vollzeit

At Sony AI, we believe that extraordinary innovation requires diversity in people and methods and that AI should be developed and deployed in a responsible, fair and transparent way ensuring that all technology should serve social good.

To strengthen our dynamic, growing team of engineers and researchers at Sony AI Zürich in Switzerland, we are currently looking for a talented Machine Learning Research Intern.

Machine Learning Research Internship in the realm of robotics directly contributing to one of our flagship projects

Key responsibilities:

- Develop and refine ML models with a focus on latent representations and generative models to enhance system performance
- Design and implement experiments to assess the quality and limitations of our current model architectures
- Address limitations by proposing and implementing research driven solutions
- Keep up-to-date with ML research in related fields to drive innovation
- Integrate ML models into real-world AI systems in collaboration with cross-functional teams

**Requirements**:

- Strong background in Machine Learning (MSc or currently pursuing a PhD in a related field) and relevant work experience with a track record of excellent contributions.
- Prior experience with un-supervised or self-supervised learning, generative modeling, representation learning or dimensionality reduction
- Prior experience with auto-differentiation libraries and learning frameworks (eg. PyTorch, Tensorflow, JAX)
- Proficiency in Python, with experience in GPU-accelerated deep learning.
- Good command of written and spoken English.

How you can stand out:

- Academic publications, patents, and/or open source software in related domains
- Prior experience with (deep) reinforcement learning, simulation environments, numerical optimization
- Prior experience with robotic control, numerical optimization, real-time constrained systems