Generative AI Applied Researcher
Huawei NederlandNetherlands9 days ago
Full-timeResearch
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Huawei Amsterdam Research Center is at the forefront of artificial intelligence and machine learning innovation. We are dedicated to developing cutting-edge technologies that revolutionize how people interact with information and enhance productivity across various sectors. Our team of experts is committed to pushing the boundaries of what's possible in AI, and we are looking for talented individuals to join us on this exciting journey.
We are hiring a talented Generative AI Applied Researcher to join our dynamic team. The ideal candidate has a strong background in Deep Learning and Computer Vision, with a keen interest in generative models such as diffusion models.
Key Responsibilities:
We are hiring a talented Generative AI Applied Researcher to join our dynamic team. The ideal candidate has a strong background in Deep Learning and Computer Vision, with a keen interest in generative models such as diffusion models.
Key Responsibilities:
- You will design and implement advanced deep learning algorithms for computer vision and generative AI.
- You will carry on your own research and experiments with generative models, including diffusion models, GANs, and VAEs.
- You will collaborate with different and heterogeneous teams to integrate your solutions into products and services.
- You will maintain a constant focus on the latest advancements in AI and machine learning technologies.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.
- Proven experience in Deep Learning and Computer Vision.
- Strong knowledge of generative models (e.g., diffusion models, GANs, VAEs).
- Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.
- Excellent problem-solving and communication skills.
- Passion for innovation, curiosity, and a goal-oriented mindset.
- Competitive salary and comprehensive benefits package.
- A stimulating and heterogeneous work environment that allows for continuous professional development and learning opportunities.
- Work on cutting edge research and projects, in a collaborative setting and with a strong team.
Key Skills
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