Director of Engineering for CodeAI

• Serve as a high-bandwidth partner for research teams in DeepMind in identifying critical gaps in core intelligence pieces - LLM, harness and adjacent capabilities (memory, context engineering, recursive self-improvement loops), activating and successfully executing on research and development work to improve LLMs+ adjacent pieces for Google scale critical user journeys.
  
• Translate frontier capabilities into high-value product capabilities that professionals love and set up feedback flywheel to extract and upstream rich expert signal to GDM (e.g., high-quality, high-complexity datasets that can unlock model hill-climbing for higher level of autonomy for complex tasks).
  
• Build, scale, and inspire an organization of frontier AI-native engineering by maintaining focus on fast pace of experimentation/iteration and identifying the biggest blockers to getting to AGI, partnering with GDM to land research and value breakthroughs at Google scale, through first-principles thinking.
  

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
  
• 15 years of professional experience in software engineering
• 10 years of experience in senior leadership roles leading frontier research or applied AI engineering teams
• 3 years of experience experimenting and landing GenAI products
• Experience with concepts such as hill-climbing for quality, fine-tuning/SFT, and agentic systems
• Experience leading and translating frontier AI research into production-grade enterprise GenAI products/agents

Preferred qualifications:

• Master's degree of PhD in Machine Learning, Computer Science, or a related discipline
• Demonstrated impact through leading high-velocity, high-calibre, mission-driven teams, especially those that interface with a frontier research organization
  
• Established presence and thought-leadership in the AI/ML community, demonstrated through landed value by high-impact research or high-value Applied AI products/agents

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
  
• 15 years of professional experience in software engineering
• 10 years of experience in senior leadership roles leading frontier research or applied AI engineering teams
• 3 years of experience experimenting and landing GenAI products
• Experience with concepts such as hill-climbing for quality, fine-tuning/SFT, and agentic systems
• Experience leading and translating frontier AI research into production-grade enterprise GenAI products/agents