Staff Research Scientist/Engineer, Agentic Post Training, DeepMind at Google | CA, US | Rezi

Staff Research Scientist/Engineer, Agentic Post Training, DeepMind at Google

Staff Research Scientist/Engineer, Agentic Post Training, DeepMind

Google · CA, US

Today

Staff Research Scientist/Engineer, Agentic Post Training, DeepMind

Google · CA, US

5 hours ago
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About the Role

This role is dedicated to core modeling and post-training experience, focusing on deep learning, LLMs, and reinforcement learning. Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users, ensuring safety and ethics are always the highest priority.

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.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience with large language model, reinforcement learning, and deep learning.
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Skills

  • large language model
  • reinforcement learning
  • deep learning
  • data structures
  • algorithms
  • software design
  • software architecture
  • software development
  • testing
  • launching software products
  • technical leadership
  • project teams
  • technical direction
  • complex, matrixed organization
  • cross-functional projects
  • cross-business projects
  • core modeling
  • post-training experience
  • hypothesis formulation
  • ablation studies
  • research findings
  • visualizations
  • reports
  • research infrastructure
  • utilities
  • data analysis
  • model evaluations
  • engineering practices
  • feedback and communication loop

Experience Level

  • 8 years of experience in software development
  • 5 years of experience testing, and launching software products
  • 3 years of experience with software design and architecture
  • 3 years of experience in a technical leadership role
  • 3 years of experience working in a complex, matrixed organization

Education Level

  • Bachelor’s degree or equivalent practical experience
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field

Salary/Compensations

  • US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Benefits

  • 20% bonus target
  • equity
  • benefits

About the Company

  • Artificial intelligence will be one of humanity’s most transformative inventions.
  • At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
  • We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
  • We are pushing the boundaries across multiple domains.
  • Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.