Applied Scientist (AI for Healthcare)

Kadence is partnered with a AI first healthcare company building agentic systems for medical coding. We are looking for an Applied Scientist with strong LLM reasoning and agents background. We need a coder and platform builder, who also has strong research background. Target Compensation is between $160k-220k base (depending on experience), plus equity. Location is Bay Area, SF (hybrid ) What you’ll do Improve LLM reasoning using post-training (SFT, RL) Build agentic systems (multi-step, real-world tasks) Design evaluation frameworks to measure model quality Optimize models for performance + cost efficiency What we’re looking for Strong ML/NLP background with LLMs or transformers (1.5 years+ industry exp.) Experience with RL, fine-tuning, or evaluation of models Solid Python + PyTorch (or similar) Track record of turning research into real impact Ph.D. required in Computer Science, Mathematics, Physics background or similar Bonus Synthetic data, retrieval systems, or long-context models Experience with scalable ML systems