Senior ML Engineer for Scientific Support

The candidate is open to other engineering roles but is primarily looking for engineering roles (or hybrid science/engineer roles) that focus on supporting scientists or scientific organizations. They have a decade of experience bouncing between researcher and engineer roles, with a proven track record of helping scientists write better code and build better machine learning models. Most recently, they contributed to a GenAI system, focusing on testing for critical customer needs and developing systems to override model output for increased reliability and consistency. They are passionate about automating repetitive scientific tasks while maintaining flexibility for experimentation.