GPU/ML Engineer - H100
Negotiable
Medical Technology
France
Permanent
Remote

Have you got hands-on experience with H100 GPUs? If so read below to have a chance to join one of the worlds most exciting AI Biotechs!

I have partnered with a leading start-up, an AI Biotech founded by ex-Google Deepmind and leaders from another renowned Biotech, recently raising significant seed funding to advance their biomedical solutions.

They are seeking an ML/GPU Engineer with experience in large-scale deep learning to join a team that is paving the way for foundation model breakthroughs in biology.

To apply for this role you will need:

  • Deep expertise in CUDA kernels, GPUs and their associated distributed computing frameworks to manage current-generation clusters.
  • Experience extracting maximum performance from modern H100 GPUs for model interference and training.
  • A successful track record and genuine passion building and fine-tuning Generative AI/LLMs, deploying large neural networks, MLOps and for AI's intersection in healthcare and biology.

As H100s are so new, the ideal candidate would have a successful track record working at the likes of NVIDIA, Meta or Google.

Depending on your level of experience you will have the opportunity to supervise a team and lead ambitious projects.

This role is a permanent, remote position, to be based anywhere in Europe. Please only apply if you have hands-on experience with H100 and do not require sponsorship in your country of residence.

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