Research Scientist, Applied Research (AI)

Location: San Francisco office, United States

Company

hirify.global builds AI-powered computer-aided design tools for molecules and trains foundation models for biochemical structure, interaction, and drug discovery.

What you will do

• Improve the real-world performance of foundation models used for drug discovery.
• Plan targeted data generation campaigns and design evaluations that accurately measure model performance.
• Formulate post-training recipes that make models useful for real drug discovery problems.
• Work closely with pre-training researchers, research engineers, and the science team in fast development cycles.
• Develop simple, robust methods rather than intricate solutions designed for narrow problems.

Requirements

• Technical depth combined with interest in the underlying biology; a biological background is not required.
• Strong quantitative background in computer science, mathematics, or physics, particularly probability, statistics, and machine learning.
• Deep software engineering expertise and experience working in large codebases.

Nice to have

• Published research in machine learning for protein, antibody, or small-molecule modeling.
• Fluency in protein language, structure prediction, and design models such as AlphaFold, RFDiffusion, ProteinMPNN, and ESM.

Culture & Benefits

• Opportunity to work at the frontier of AI research and biology with experienced researchers.
• Culture focused on high velocity, ownership, and diverse perspectives.
• Compensation is intended to reflect the contribution of the team.