Senior Research Scientist, Gemini Release Evaluations, DeepMind

Google LLC
Mountain View, CA, United States
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Structures Machine Learning Large Language Models Information Technology

Job description

Experteer Overview In this role you shape and drive research programs that translate findings into impactful AI solutions. You will lead project work, define data structures and evaluation metrics, and build novel datasets to advance state-of-the-art models. You’ll explore the link between static evaluations and live production traffic to improve real-world performance. This position sits at the intersection of research leadership and practical implementation, contributing to broad scientific progress and product innovation. Compensation / Benefits * Lead a research agenda and communicate progress to stakeholders * Define data structures, frameworks, design, and evaluation metrics for research solutions * Identify and secure timelines and resources for projects * Create new SOTA datasets to push frontier models * Analyze relationships between static evals and live production traffic * Author research papers to share results and impact across function and community Tasks * PhD in Computer Science, related field, or equivalent practical experience * 2 years of experience leading a research agenda * 1 year of experience in a data science field * Experience with AI model training, testing, evaluation, and tuning processes * Experience with LLM release cycles and timeline management Key requirements * bonus target * equity * benefits * competitive compensation * intellectual freedom * career development

Requirements

aaay_ Science, related field, or equivalent practical experience, * 2 years of experience leading a research agenda * 1 year of experience in a data science field * Experience with AI model training, testing, evaluation, and tuning processes * Experience with LLM release cycles and timeline management Key requirements * bonus target * equity * benefits * competitive compensation * intellectual freedom * career development

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