Applied Research Scientist (Protein LMs) - Biotech

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.