Lead Research Scientist, Post-Training AI Agents

DeepMind Technologies Limited; Kirkland (WA); On-site; 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

Sick leave

Maternity leave

Baby bonding leave

Holidays

Job summary

Google DeepMind in the United States is seeking a Research Engineer/Scientist to advance agent post-training and personalization for consumer applications. You will develop methods to convert foundation models into autonomous, adaptive agents and scale them with reinforcement learning and persistent context architectures.

You will build training data, evaluation frameworks, and ensure safety and ethics while pushing the Gemini model recipe forward across multiple domains.

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 in the Gemini model recipe.
• 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

Large language models

Reinforcement learning

Deep learning

Software development

Architecture design

Team leadership

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering/CS

Tools

TensorFlow

PyTorch

Job description

Google DeepMind in the United States is seeking a Research Engineer/Scientist to advance agent post-training and personalization for consumer applications. You will develop methods to convert foundation models into autonomous, adaptive agents and scale them with reinforcement learning and persistent context architectures.

You will build training data, evaluation frameworks, and ensure safety and ethics while pushing the Gemini model recipe forward across multiple domains.