Senior AI Research Scientist - Post-Training & LLMs

Google LLC; Mountain View (CA); Hybrid; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days/year

Job summary

Google DeepMind is seeking a Senior Staff Research Scientist/Engineer for agentic post-training. The role focuses on deep learning, LLMs, and reinforcement learning to advance the Gemini model recipe, from hypothesis to delivery.

You will participate in ablation studies, share findings, and help build reusable research infrastructure across global teams. The position emphasizes collaboration in a matrixed organization, with compensation including base pay, equity, and a strong benefits package.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience with large language model, reinforcement learning, and deep learning.

Responsibilities

• Specialize in core modeling and post-training experience. Drive the research process for large-scale agent post-training from hypothesis formulation to delivery.
• Design and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.
• Communicate research findings, progress, and outcomes to the broader team through visualizations and reports.
• Develop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.
• Collaborate with other research scientists and engineers to maintain a regular feedback and communication loop.

Skills

Software development

Design & architecture

Reinforcement learning

Deep learning

Large language models

Education

Bachelor's degree or equivalent

Job description

Google DeepMind is seeking a Senior Staff Research Scientist/Engineer for agentic post-training. The role focuses on deep learning, LLMs, and reinforcement learning to advance the Gemini model recipe, from hypothesis to delivery.

You will participate in ablation studies, share findings, and help build reusable research infrastructure across global teams. The position emphasizes collaboration in a matrixed organization, with compensation including base pay, equity, and a strong benefits package.