Applied Research Scientist Protein LMs - Biotech

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Kadence is partnered with a bio x AI company in SF, looking for an Applied Research Scientist, for an on-site, full-time position.

The company is a Seed funded biotech operating at the intersection of molecular biology and machine learning.

What This Team Does:

This group sits between pure theory and production.

They:

  • Understand the mathematical frameworks from the fundamental research team
  • Implement them into high-performance code
  • Optimize models for GPUs
  • Scale pretraining
  • Improve efficiency of inference and training
  • Build the infrastructure for new architectures

They do not focus on biological interpretation, this is a strictly ML role.

Key Responsibilities:

  • Implement new architectures from the theory team
  • Optimize model code for high-performance training
  • Handle model scaling, distributed training, and inference efficiency
  • Work closely with the wet lab to ensure tight feedback loops
  • Contribute to open-source foundation models and publications

Qualifications:

  • Degree in CS, ML, Applied Math, or related
  • Strong fundamentals in ML theory, optimization, and deep learning
  • Experience building or training models from scratch (not just fine-tuning)
  • Experience with PyTorch/JAX
  • Strong high-performance computing background
  • GitHub showing not mostly Python (C/C++/Julia/etc. is a plus)
  • Research pedigree (top schools or top ML teams)

Who Thrives Here:

People who like writing elegant, hardware-aware code, scaling models, and working on fundamental research problems, but with implementation responsibility.

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