Senior Staff Research Scientist/Engineer, Agentic Post Training, DeepMind

AI Chopping Block, Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits package

Job summary

Google DeepMind is seeking a senior researcher focused on core modeling and post-training experiences for large-scale AI systems. You will lead research from hypothesis through to delivery in Gemini, conduct ablations, and communicate results to multidisciplinary teams.

You will develop data analysis tools and collaborate across teams to drive experimental feedback loops and model improvements. The role emphasizes software design, architecture, and practical deployment of research outcomes in a

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• Experience with LLMs, RL, and deep learning emphasized.
• Strong design and architecture experience; testing/launching software products.

Responsibilities

• Drive the research process for post-training from hypothesis to delivery in the Gemini model recipe.
• Design and run ablation studies to validate hypotheses and speed up feedback loops.
• Communicate findings and progress to the team via visualizations and reports.
• Develop infrastructure for data analysis and model evaluations using standard engineering practices.
• Collaborate with research scientists and engineers to maintain a regular feedback loop.

Skills

Large language models

Reinforcement learning

Deep learning

Software development

Design and architecture

Testing and launches

Data structures & algorithms

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS/related field

Job description

This role is dedicated to core modeling and post-training experience (e.g., deep learning, LLMs, and reinforcement learning). Because of this focus, candidates with primarily ML infrastructure (ML infra) backgrounds will likely find this is not the right profile for their skill set.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

• 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.

Minimum 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.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 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.