- Mountain View, CA
- Full-Time
- <48 Hours
Staff Research Scientist/Engineer, Agentic Post Training, DeepMind.
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Staff Research Scientist/Engineer, Agentic Post Training, DeepMind: our view in 3 lines...
- The Role:This role is for a staff-level AI researcher or engineer focused on agentic post-training for large language models at Google DeepMind.
- The Person:The person will drive the research process for large-scale agent post-training, design and execute ablation studies, communicate findings with visualizations and reports, and build research infrastructure and utilities for data analysis and model evaluations.
- Requirements:The ideal candidate has a bachelor’s degree or equivalent practical experience, 8 years of software development, experience with large language model, reinforcement learning, and deep learning, and ideally a master’s degree or PhD.
About the role
Minimum 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.
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.
- 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.
About the job:
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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.
