• Design, build, and deploy the critical small language models that are foundational to Fastino’s product • Own the full lifecycle of state of the art models, from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production • Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards • Build robust and real-world motivated evaluations • Partner with Fastino engineering team to ship model updates directly to customers • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development