The Head of Research for Professional Intelligence at DeepMind will lead a team focused on building domain-specific AI architecture for high-stakes industries. This role involves overseeing the development of benchmark datasets and evaluation suites while collaborating with engineering and product management teams. The position emphasizes rapid iteration on research initiatives and the deployment of research advances to enterprise partners. The successful candidate will contribute to the broader Gemini model training effort and engage with the research community through publications.

• PhD in Computer Science, Mathematics, Applied Statistics, Machine Learning, or a related quantitative field, or equivalent practical experience.
• 10 years of experience in applied NLP research and productionization, including experience with advanced prompting and LLM fine-tuning or reinforcement learning.
• 4 years of experience leading technical or research teams and mentoring engineers.
• Demonstrated ability to deliver clean, maintainable, production-grade code in Python, adhering to sound engineering principles.

• Lead, mentor, and grow a team of research scientists and machine learning engineers.
• Provide direction and focus in areas of high ambiguity while prioritizing team workloads and managing projects.
• Oversee the development of benchmark datasets and rigorous evaluation suites measuring factual accuracy, citation fidelity, and multi-step reasoning.
• Act as an owner by diving deep, asking questions, proposing solutions, and establishing consensus.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.