Staff Research Scientist - AI Modeling & LLMs

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 207,000 - 300,000; 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

Job summary

Google DeepMind is seeking researchers focused on core modeling and post-training experiences, including deep learning, LLMs, and reinforcement learning. The role emphasizes delivering research from hypothesis to production within the Gemini model framework.

Ideal candidates have extensive software development and architecture experience, with leadership and collaboration across cross-functional teams. This position offers competitive compensation and equity benefits.

Qualifications

• 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 models, 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 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.
• Collaborate with other researchers and engineers to maintain regular feedback and communication loops.

Skills

Large language models

Reinforcement learning

Deep learning

Software architecture

Software testing

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Job description

Google DeepMind is seeking researchers focused on core modeling and post-training experiences, including deep learning, LLMs, and reinforcement learning. The role emphasizes delivering research from hypothesis to production within the Gemini model framework.

Ideal candidates have extensive software development and architecture experience, with leadership and collaboration across cross-functional teams. This position offers competitive compensation and equity benefits.