Research Engineer, Model Evaluation and Improvement

What you'll do

• Create high-quality scientific datasets, tasks, and environments for model evaluation and improvement.
• Run experiments to analyze model failures and identify opportunities to improve performance.
• Build scientific-data pipelines and collaborate with scientists and frontier AI labs on evaluation approaches.

What they ask for

• 2+ years at the intersection of biology and AI, including experience evaluating and improving scientific models or LLMs for biological applications.
• Experience building with LLMs and understanding their capabilities and limitations.
• Comfort with ambiguous, rapidly changing problems and a collaborative approach to working with engineers, scientists, and research partners.
• Interest in frontier AI and willingness to work in a fast-paced environment with shifting priorities.

Pay

$136,435 – $265,112 (base salary)

Tools

LLMs

AI focus

Evaluate and improve frontier AI models for scientific and biological tasks, including designing datasets, experiments, and systems to help models reason more effectively about science.