Research Scientist, AI Safety & LLM Alignment

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google DeepMind in Mountain View, CA is seeking a Research Scientist for Gemini Agent Safety Post Training. You will develop algorithmic solutions to advance user-facing architectures and ensure outputs are aligned and production-ready.

Required: PhD in Computer Science or related field (or equivalent), and 1 year of experience with Generative AI, LLMs, NLP, or agent-based systems. The role emphasizes safety, rigorous research, and cross-functional collaboration with product teams.

Qualifications

• PhD in Computer Science, a related field, or equivalent practical experience.
• 1 year experience with Generative AI, Large Language Models, natural language processing, or Agent-based systems.

Responsibilities

• Design, implement, and maintain high-quality protocols to identify safety gaps in model behavior across all Gemini and GenAI models, and feed these insights back into the post-training process to continuously improve both in-model and out-of-model protection.
• Explore, adapt, and apply innovative modeling and alignment techniques to solve real-world safety and alignment challenges under tight launch timelines.
• Drive innovation in model optimization, advancing the application of Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques at massive scale.
• Partner closely with post-training, evaluation, and product teams to align incentives, close safety gaps, and influence safety decisions without direct authority.

Skills

Generative AI

LLMs

NLP

Agent-based systems

Education

PhD in Computer Science, related field, or equivalent

Job description

Google DeepMind in Mountain View, CA is seeking a Research Scientist for Gemini Agent Safety Post Training. You will develop algorithmic solutions to advance user-facing architectures and ensure outputs are aligned and production-ready.

Required: PhD in Computer Science or related field (or equivalent), and 1 year of experience with Generative AI, LLMs, NLP, or agent-based systems. The role emphasizes safety, rigorous research, and cross-functional collaboration with product teams.