Requirements

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.

Nice to haves

• Experience applying deep learning models to biological data such as functional genomics or protein sequence data.
• Experience working with life science data, including bioinformatics or health informatics.
• Ability to identify, break down, and solve ambiguous and complex process and technical problems across teams and organizations.

What you'll be doing

• Partner with product leadership, external organizations, and internal teams to understand biological defense challenges and define software requirements and architecture.
• Build data pipelines for complex biological datasets, implement scalable evaluation frameworks, and optimize production model inference and serving infrastructure.
• Develop novel solutions from concept to production using internal platforms and tools powered by GDM foundation models.
• Translate experimental research prototypes into maintainable software and communicate performance metrics and edge cases with research teams.
• Establish software engineering best practices focused on testing, reliability, security, and maintainability for applied GenAI systems.

Perks and benefits

• Work at a pioneering AI lab committed to advancing AI with safety and ethics as priorities.
• Opportunity to contribute to AI technologies for public benefit and scientific discovery.
• Collaborate with exceptional interdisciplinary global teams.
• Varied learning opportunities and career pathways.