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Research Scientist in Generative AI at reliant-ai | Berlin

reliant-aiBerlin, Berlin, Germany
On-site Full-time

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Experience

Qualifications

About the RoleWe are seeking a talented Research Scientist with a strong background in designing practical deep learning systems to join our innovative team. The ideal candidate will have a robust publication record in top-tier journals and a deep understanding of the machine learning landscape. Proficiency in implementing deep learning algorithms using frameworks such as PyTorch or JAX is essential. Candidates should possess at least three years of experience in reinforcement learning or generative modeling, alongside a Ph. D. or equivalent research experience.

About the job

About Us

At reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.

We believe that the true potential of generative AI can only be achieved by tackling the world's most significant information challenges. With over two decades of expertise in reinforcement learning and natural language processing, we are poised to make a substantial impact in this field.

Our team consists of scientists, builders, and entrepreneurs who have pioneered some of the most influential AI applications. Having led teams at industry giants like Google, DeepMind, and EY Parthenon, we now connect cutting-edge AI research with the biopharma sector.

About reliant-ai

reliant-ai is at the forefront of AI technology, addressing the critical challenges of information overload with cutting-edge generative AI solutions. Our focus lies in merging advanced AI research with practical applications in the biopharma industry, driving innovation and efficacy.

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