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About the role
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. Learn more about benefits at Google . In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
What they're looking for
- 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
More about this role
- 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.
- 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.
- 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...
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