Senior AI Research Scientist - LLMs & RL Post-Training

DeepMind Technologies Limited; San Francisco (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

401k match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google DeepMind is seeking a role focused on core modeling and post-training experiences, including deep learning, LLMs, and reinforcement learning. The position prioritizes candidates capable of driving research from hypothesis to delivery within the Gemini model framework.

The team emphasizes safety, ethics, and cross-functional collaboration, with opportunities to work across multiple domains and avenues for career growth in a global, interdisciplinary environment.

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 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

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering or CS

Job description

Google DeepMind is seeking a role focused on core modeling and post-training experiences, including deep learning, LLMs, and reinforcement learning. The position prioritizes candidates capable of driving research from hypothesis to delivery within the Gemini model framework.

The team emphasizes safety, ethics, and cross-functional collaboration, with opportunities to work across multiple domains and avenues for career growth in a global, interdisciplinary environment.