Senior Research Engineer

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization. 

 

Our AI and Applied Science team is seeking a highly motivated Senior Research Engineer, for our AI Data platform to work on innovation in agentic systems, efficient LLM modeling, and human-in-the-loop experiences. In this role you will prototype next‑generation agents (tool use, planning, orchestration) and efficiency techniques (distillation, quantization, retrieval, caching) that improve latency, cost, and quality for enterprise workloads. You will also design and build rich, interactive UIs to enable human oversight, feedback, and troubleshooting—closing the loop between model behavior, evaluation, and product impact. Partnering closely with applied scientists, research engineers, and product teams, you will take your solutions from lab to production, driving measurable outcomes and shipping globally scaled intelligent applications.  

This role requires a good foundation in agentic and generative AI coupled with deep expertise in building rich, production-grade interactive UIs for human-in-the-loop workflows. You will design novel solutions that turn business requirements into intuitive experiences for review, feedback, and oversight—spanning prompt/tool orchestration consoles, evaluation dashboards, trace/telemetry views, safety and guardrail configuration, and annotation/feedback loops. Demonstrated experience taking science prototypes to production is essential, including integrating LLM backends (streaming, caching, retrieval, tool use), instrumenting evaluation (offline metrics, A/B testing, rubrics), and ensuring reliability, performance, accessibility, and security. Hands-on proficiency with modern web stacks (e.g., TypeScript, React, design systems, data visualization), real-time collaboration, and observability is a must; familiarity with LLM post-training/fine-tuning, alignment, and agent orchestration is strongly preferred to partner effectively with modeling teams. Experience visualizing and interacting with structured, tabular, graph, or time-series data is a strong plus. We’re looking for candidates who thrive in fast-paced environments, reduce ambiguity through prototyping and user testing, and own outcomes end to end—from concept to globally scaled deployment. 

Responsibilities:  

• Collaborate with a team of applied scientists and research engineers to architect, develop, and evaluate innovative science solutions in response to business requirements. 

• Write high quality code to power experiments and build models. Contribute to writing production model code.    

• Collaborate with data engineers to provide guidelines for data collection and annotation.  

• Collaborate closely with cross-functional teams to deliver solutions into various applications and products. 

• Identify new opportunities for scientific exploration and evaluate emerging technologies. 

• Maintain a deep understanding of industry trends and developments in your field. 

 

Qualifications and Experience: 

• MS in Computer Science, Mathematics, Statistics, Engineering, or a related field and experience in AI/Generative AI/Machine Learning in an industry setting 

• Publication record in first-tier journals or conferences (e.g. ACL, EMNLP, NAACL, ICLR, NeurIPS) is a plus 

• Hands-on development experience and a history of transitioning science solutions into successfully deployed products  

• Understanding of state-of-the-art AI models for structured and unstructured data and their engineering implementations 

• Excellent problem-solving and analytical skills 

• Strong communication skills 

• Strong knowledge of scripting languages: ReACT, TypeScript 

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which incl