Machine Learning Scientist

Job Description

Machine Learning Researcher – Deep Tech

A highly skilled Machine Learning Researcher is required to join an innovative deep-tech bio company, focusing on leading development efforts in generative AI, including diffusion models, language models, and novel algorithm development. This role is ideal for someone who thrives on designing foundational models and developing novel AI methodologies from the ground up. You will have the opportunity to work on high-impact research.

My client is an AI-driven deep-tech company at the intersection of AI and life sciences, developing proprietary algorithms that identify and accelerate the discovery of promising drug candidates. Their team is pushing the boundaries of what’s possible in machine learning, working on fundamental advancements that have real-world impact.

What You’ll Do:

• Design and develop novel machine learning algorithms tailored to address complex and challenging problems.
• Dive into cutting-edge AI, including generative AI, diffusion models, and foundational model architectures.
• Maintain an active research presence with publications and presentations at top-tier AI conferences such as NeurIPS, ICML, and ICLR.
• Shape and implement proprietary AI solutions that redefine how drug candidates are identified and validated.

Who You Are:

• PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline.
• A strong publication record as a first author in leading AI venues (e.g., NeurIPS, ICML, ICLR).
• Expertise in generative AI, diffusion models, large language models, and foundational AI techniques.
• Proven experience in developing algorithms and machine learning systems from the ground up, with a focus on originality and scalability.

Why Join Us?

Be part of a team of world-class researchers and scientists at the forefront of generative AI and foundational model research.

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