Google DeepMind · 11 hours ago
Research Engineer, Gemini Post Training, Model Behavior
Mountain View, CA
Full-time
Hybrid
Senior Level
$166K/yr - $244K/yrGoogle DeepMind is a team of scientists and engineers focused on advancing artificial intelligence for public benefit. They are seeking a Research Engineer to develop large-scale machine learning systems, optimize model behavior, and mentor junior engineers.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Develop techniques and data pipelines to optimize frontier Gemini models on key capabilities important for model behavior
Build robust and real-world motivated evaluations
Partner with feature teams to prioritize modeling needs and ship gemini powered features
Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development
Mentor and guide junior engineers, fostering their professional growth and development
Qualification
Required
BS, MS or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience
Fluency in Python or C++ and JAX or similar ML framework
Software engineering, ML and data engineering experience (e.g. model training / deployment, efficiency optimization, data pipeline design, ML infra)
Experience building robust automatic or human evaluations for ML models
Proven ability to lead engineering teams in fast-moving environments, under ambiguity
Excellent communication and cross-functional collaboration skills, willingness to unblock others and pick up slack
Preferred
Have hands-on experience with training and debugging LLMs. Experience with RL fine tuning methods are a plus
Enjoy the end-to-end process of productionizing cutting-edge research and taking projects from proof-of-concept to launch are passionate about applying AI for learning use cases obsess over the user and are excited about incorporating user feedback into the model development process
Are well versed in Google infrastructure, including for fine-tuning and serving Gemini models
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Founded in 2010
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
Recent News
2026-01-25
2026-01-23
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