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An independent guide to Arizona’s AI economyData refreshed daily · Aug 7, 2026
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Artificial Intelligence

OraclePhoenix, AZ

This scientist will take ownership of evaluation projects from ambiguous business or customer questions through experimental design, data and metric validation, analysis, and final recommendations. The work is part of OCI’s AI Evaluation Science function and spans areas including reasoning, coding, retrieval-augmented generation, agents, multimodal systems, multilingual performance, and responsible AI. The role involves creating reusable benchmarks and pipelines, assessing quality alongside cost, latency, safety, robustness, and reliability, and validating automated and human evaluation methods. The scientist will work closely with research, engineering, product, data, annotation, and external teams while documenting assumptions and results clearly. It suits an experienced machine learning practitioner who combines strong scientific judgment with software engineering ability, independent ownership, and interest in publishable evaluation research.

Requirements

Advanced degree or equivalent industry experience in a quantitative technical fieldExperience designing and interpreting machine learning experiments and evaluationsStrong knowledge of machine learning, deep learning, NLP, and generative AIHands-on experience assessing foundation models, LLMs, AI agents, or related systemsProficiency in Python and common ML or data science toolingAbility to analyze complex datasets and communicate recommendations to varied stakeholders
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Listed August 7, 2026 · Verify details with the employer before applying.

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