Director of AI Research & ML Systems

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google in Mountain View, CA is seeking a Research Scientist to advance domain-specific AI for high-stakes industries. You will set up large-scale tests, prototype architectures, and deploy ideas rapidly while aligning with enterprise partners.

You will lead a team of research scientists and ML engineers, contribute to Gemini model training, publish findings, and drive rigorous evaluation and safety-focused production work.

Qualifications

• 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 (RL).
• 4 years of experience leading technical or research teams and mentoring engineers.

Responsibilities

• Learn more about benefits at Google .
• Act like an owner; be fearless in diving deep, asking questions, proposing solutions, establishing consensus and then making things happen.
• 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 to enable rapid iteration on research initiatives.
• Oversee the development of benchmark datasets and rigorous evaluation suites measuring factual accuracy, citation fidelity, and multi-step reasoning.
• Partner with engineering, product management, and legal domain experts to deploy research advances to early enterprise partners.

Skills

NLP research

LLM fine-tuning or RL

Advanced prompting

Leadership of teams

Education

PhD in Computer Science, Mathematics, Applied Statistics, Machine Learning, or related quantitative field (or equivalent practical experience)

Job description

Google in Mountain View, CA is seeking a Research Scientist to advance domain-specific AI for high-stakes industries. You will set up large-scale tests, prototype architectures, and deploy ideas rapidly while aligning with enterprise partners.

You will lead a team of research scientists and ML engineers, contribute to Gemini model training, publish findings, and drive rigorous evaluation and safety-focused production work.