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 teamImplement them into high-performance codeOptimize models for GPUsScale pretrainingImprove efficiency of inference and trainingBuild the infrastructure for new architecturesThey do not focus on biological interpretation, this is a strictly ML role.Key Responsibilities:Implement new architectures from the theory teamOptimize model code for high-performance trainingHandle model scaling, distributed training, and inference efficiencyWork closely with the wet lab to ensure tight feedback loopsContribute to open-source foundation models and publicationsQualifications:Degree in CS, ML, Applied Math, or relatedStrong fundamentals in ML theory, optimization, and deep learningExperience building or training models from scratch (not just fine-tuning)Experience with PyTorch/JAXStrong high-performance computing backgroundGitHub 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.