Oracle
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Senior Research Engineer – Agentic AI
role at
Oracle
2 days ago – Be among the first 25 applicants
Job Description 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 lead innovation in agentic systems, efficient LLM modeling, and human‑in‑the‑loop experiences. In this role you will research, architect, and 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 solid 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 rigorous 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.
Experienced in training and fine‑tuning LLMs with HF transformers, reinforcement learning, and parameter‑efficient fine‑tuning.
Benefits US: Hiring Range in USD from: $79,200 – $178,100 per year. May be eligible for bonus and equity.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion
Short‑term disability and long‑term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre‑tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation and accrual details
11 paid holidays
Paid sick leave
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal services
Voluntary benefits including auto, homeowner and pet insurance
Equal Employment Opportunity Statement Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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Senior Research Engineer – Agentic AI
role at
Oracle
2 days ago – Be among the first 25 applicants
Job Description 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 lead innovation in agentic systems, efficient LLM modeling, and human‑in‑the‑loop experiences. In this role you will research, architect, and 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 solid 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 rigorous 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.
Experienced in training and fine‑tuning LLMs with HF transformers, reinforcement learning, and parameter‑efficient fine‑tuning.
Benefits US: Hiring Range in USD from: $79,200 – $178,100 per year. May be eligible for bonus and equity.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion
Short‑term disability and long‑term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre‑tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation and accrual details
11 paid holidays
Paid sick leave
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal services
Voluntary benefits including auto, homeowner and pet insurance
Equal Employment Opportunity Statement Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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