Requirements

• Deep conceptual and practical understanding of deep learning frameworks (e.g., JAX, PyTorch, TensorFlow)
• Strong familiarity with AI security threat vectors and frameworks like OWASP Top 10 for LLMs or MITRE ATLAS
• Proven experience securing agentic frameworks (ADK, MCP) and agentic first infrastructure
• Solid proficiency in cloud platform security (GCP preferred)
• Ability to define and execute pragmatic mitigation strategies
• Ability to write production-grade code (Python preferred)
• Exceptional skills in communicating complex machine learning risks

Nice to Haves

• Experience conducting empirical vulnerability research or executing simulated attacks against LLMs
• Prior exposure to BioTech, Pharma, and/or Deep Tech industries
• BSc, MSc, or PhD in Computer Science, Machine Learning, Cybersecurity, or related field
• Relevant security or cloud credentials or specialized training in ML security

What you'll be doing

• Conduct cutting-edge threat modeling focused on AI/ML vulnerabilities
• Partner with AI teams to establish protection framework for ML models
• Design scalable guardrails and monitoring controls for LLM ecosystem
• Implement security controls across the ML lifecycle
• Act as the primary technical expert for AI security incidents
• Pioneer the practical implementation of Isomorphic Labs' AI Safety standards

Perks and Benefits

• Hybrid working model with office presence required 3 days a week
• Commitment to equal employment opportunities and diversity
• Opportunity to work with cutting-edge AI technologies in drug discovery
• Collaborative and inclusive culture