Job Description
Minimum qualifications:
Bachelor's degree or equivalent practical experience
8 years of experience working with Large Language Models (LLMs) and building agents.
Preferred qualifications:
Understanding of core machine learning (ML) concepts, training algorithms, best practices for evaluation.
Understanding of data, familiarity with basic statistical analysis concepts (e.g., variance, p-value, bias), and data science classics.
Understanding of essential concepts such as tokens, context, Retrieval-Augmented Generation (RAG) and function calling.
Understanding of core ML concepts, training algorithms, best practices for evaluation.
Familiarity with running quality interactions, which involves understanding business goals, defining aligned technical metrics, implementing evaluation frameworks, designing experiments, analyzing results, performing RCAs, formulating hypotheses for improvements, and conducting ablation or live experiments.
About The Job
Google Clo...
Bachelor's degree or equivalent practical experience
8 years of experience working with Large Language Models (LLMs) and building agents.
Preferred qualifications:
Understanding of core machine learning (ML) concepts, training algorithms, best practices for evaluation.
Understanding of data, familiarity with basic statistical analysis concepts (e.g., variance, p-value, bias), and data science classics.
Understanding of essential concepts such as tokens, context, Retrieval-Augmented Generation (RAG) and function calling.
Understanding of core ML concepts, training algorithms, best practices for evaluation.
Familiarity with running quality interactions, which involves understanding business goals, defining aligned technical metrics, implementing evaluation frameworks, designing experiments, analyzing results, performing RCAs, formulating hypotheses for improvements, and conducting ablation or live experiments.
About The Job
Google Clo...
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