Oracle · 4 hours ago
Senior Research Engineer - Agentic AI
United States
Full-time
Remote
Senior Level
$79K/yr - $178K/yrOracle is a world leader in cloud solutions, and they are seeking a highly motivated Senior Research Engineer to perform innovation in agent planning and reasoning. The role involves researching, architecting, and prototyping next-generation agent planning techniques to improve enterprise workloads and drive trustworthy outcomes in production.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Collaborate with applied scientists and research engineers to architect, develop, and evaluate agent planning and multi-step reasoning solutions that meet enterprise requirements for accuracy, cost, and latency
Design and implement agent planning algorithms (hierarchical/task decomposition, tree-of-thought/graph search, self-consistency/debate/critique, scheduler/executor patterns) and robust tool-use orchestration with verification and fallback strategies
Build scalable, production-grade inference and orchestration pipelines (retrieval, function calling, memory, streaming, caching) with strong observability, tracing, and telemetry for reasoning steps and tool interactions
Develop efficiency techniques (distillation/quantization, speculative decoding, adaptive routing, KV-cache and batching strategies) to optimize throughput and stability under real-world traffic
Instrument rigorous evaluation frameworks for reasoning quality and robustness
Partner with data engineers on data collection/curation/annotation guidelines for reasoning and tool-use training signals (traces, plans, critiques, rewards)
Work closely with product and platform teams to ship secure, compliant, and reliable capabilities into applications
Identify new opportunities for scientific exploration and evaluate emerging planning/reasoning technologies; communicate findings and best practices across teams
Maintain solid understanding of industry trends and developments in agentic AI, reasoning, and efficient LLM systems
Qualification
Required
MS in Computer Science, Mathematics, Statistics, Engineering, or a related field (PhD preferred)
Experience in AI/Generative AI/Machine Learning in an industry setting, with emphasis on agent planning and multi-step reasoning
Hands-on experience taking reasoning-centric systems from prototype to production, including tool-enabled agents, retrieval-augmented reasoning, and verifiable execution with auditability and guardrails
Strong understanding of state-of-the-art LLMs and agent frameworks, including planning/decomposition methods, tool routing, memory architectures, and reliability/safety techniques
Practical expertise with efficiency methods: model distillation, quantization, PEFT/LoRA, speculative decoding, KV-cache optimization, batching/throughput tuning, and routing/MoE
Proficiency in Python and modern ML stacks (PyTorch/JAX, Hugging Face/Transformers, vector databases), with solid software engineering skills for production systems; experience with TypeScript for tool interfaces or orchestration UIs is a plus
Experience with evaluation of reasoning quality and robustness, including benchmark design, rubric-based scoring, and A/B experimentation; familiarity with datasets such as GSM8K, MATH, HotpotQA, and SWE-bench is a plus
Excellent problem-solving and analytical skills; strong communication and cross-functional collaboration
Familiarity with alignment methods (RLHF/RLAIF, DPO), safety/guardrail configuration, and compliance/security best practices for enterprise AI
Preferred
Publication record in first-tier venues (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) is a plus
Benefits
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 is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
Founded in 1977
10001+ employees
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
Esteban Rubens
Healthcare Field CTO
G
Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
Recent News
2025-12-31
2025-12-30
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