4 hours ago
Base Salary
$136k - $167k/yr
Responsibilities
- Build datasets, tasks, and environments for evaluating and improving frontier AI models.
- Analyze model failure modes and run experiments across frontier models.
- Build scalable data infrastructure and pipelines for curating, transforming, and validating scientific data.
- Collaborate with frontier AI labs on approaches to improve models on challenging scientific tasks.
- Work with scientists to translate expert judgment into reliable problems and evaluation criteria.
Requirements
- At least 2 years of academic or industry experience at the intersection of biology and AI, including evaluating or improving scientific models or LLMs for biological applications.
- Experience building with LLMs and understanding their capabilities and limitations.
- Interest in frontier AI and improving rapidly advancing models.
- Comfort working on ambiguous problems and adapting to evolving technical approaches.
- Ability to collaborate with engineers, scientists, and external research partners.
- Willingness to work in a fast-paced environment with shifting priorities and rapid experimentation.
Benefits
- On-site work is required five days per week, Monday through Friday.
Categories
AI ResearchData Engineering
About Benchling
Benchling builds an R&D cloud and AI platform for life sciences, combining electronic lab notebooks, sample/registry management, workflow automation, and developer APIs to run models and integrate data. It sells subscriptions and services to biopharma, biotech, and research organizations; customers include Sanofi and Moderna. Founded in 2012 and headquartered in San Francisco, the company is privately held.