TL;DR

Research Engineer (Biology & Life Sciences): Developing novel AI evaluation frameworks and training strategies to accelerate progress in life sciences, focusing on complex scientific tasks and biological model performance. Focus on designing rigorous methodologies, improving model capabilities, and bridging biology with machine learning engineering.

Location: Hybrid with at least 25% in-office presence in San Francisco, USA

Salary: $315,000 - $340,000 USD annually

Company

%hirify_global% is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

What you will do

Design and implement evaluation methodologies for AI models in biological research
Develop strategies to improve model performance on scientific tasks
Address long-horizon task completion and complex reasoning challenges
Collaborate with domain experts to establish benchmarks and gather data
Translate biological knowledge into machine learning objectives

Requirements

Must be able to work hybrid with at least 25% office presence in San Francisco
English proficiency at least B2 level
8+ years of machine learning experience including training large language models
5+ years of life sciences R&D experience with deep expertise in molecular biology, drug discovery, or computational biology
Proficiency in Python and modern ML development practices
Ability to work independently and collaboratively in fast-paced research environments

Nice to have

Ph.D. in biological sciences, machine learning, or related field
Experience with reinforcement learning, pretraining, and scientific AI applications
Knowledge of containerization (Docker, Kubernetes) and cloud deployment
Familiarity with biological databases and computational biology tools
Experience in drug discovery and regulatory requirements

Culture & Benefits

Competitive compensation including equity and benefits
Visa sponsorship available with immigration support
Flexible working hours and generous vacation and parental leave
Collaborative environment with frequent research discussions
Public benefit corporation with focus on ethical AI development