Oracle · 1 week ago
Senior Applied Scientist - Agentic AI
Redwood City, CA
Full-time
Onsite
Mid, Senior Level
$98K/yr - $200K/yrOracle is a world leader in cloud solutions, and they are seeking a Senior Applied Scientist to innovate in learning from human feedback and user preference modeling. The role involves designing data strategies, building models, and developing pipelines to enhance enterprise AI experiences.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Perform end to end LFHF programs: define annotation rubrics, sampling strategies, and quality controls; design rater guidelines and human in the loop workflows in collaboration with product/UX and data engineering
Build preference and reward models: pairwise and listwise modeling, win rate optimization, uncertainty estimation, and active learning to improve sample efficiency and data quality
Develop post training pipelines: supervised fine tuning (SFT), direct preference optimization (DPO/IPO/ORPO), RLHF/RLAIF, and distillation—balancing quality, safety, latency, and cost for enterprise workloads
Advance in-context learning: retrieval augmented prompting, dynamic few shot selection, tool use/orchestration aware prompting, instruction following, and mitigation of ICL brittleness and context overflow
Optimize inference and efficiency: PEFT/LoRA/QLoRA, quantization, speculative decoding, caching, and distillation for scalable deployment on Oracle infrastructure
Evaluate rigorously: establish offline/online metrics, pairwise and rubric based human evals, red teaming, safety/guardrail tests, A/B experiments, and win rate tracking; perform offline policy evaluation where applicable
Ensure safety, privacy, and compliance: apply content safety policies, guardrail configuration, PII handling/redaction, differential logging, and model governance appropriate for regulated enterprise settings
Productionize solutions: collaborate with platform teams to ship models and evaluation services; implement observability, telemetry, canarying, rollback, and lifecycle management
Stay current with research and translate advances into production differentiators; mentor teammates and contribute to a culture of scientific rigor and impact
Qualification
Required
MS, PhD (preferred) in Computer Science, Machine Learning, Statistics, Electrical Engineering, or related field with a focus relevant to LFHF, reinforcement learning, NLP, or human AI interaction
Experience (industry or applied research) building and deploying ML systems, including LLM post training and evaluation
Demonstrated expertise in learning from human or AI feedback: data/rubric design, preference/reward modeling, and optimization methods (e.g., SFT, DPO, RLHF/RLAIF)
Strong background in in context learning, prompt/program design, retrieval augmented generation, and model alignment for accuracy, safety, and robustness
Proficient in Python and modern ML stacks: PyTorch/JAX, Transformers, and libraries for post training and evaluation; solid software engineering practices and experimentation discipline
Track record publications in top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL)
Preferred
Experience designing at scale data pipelines for feedback collection, active learning, and rater operations; familiarity with label quality auditing and bias/variance trade offs
Knowledge of bandits/off policy evaluation, causal inference for policy changes, and statistical testing for online experiments
Familiarity with LLM efficiency and serving: tensor/graph optimization, KV cache management, batching strategies, and throughput/latency trade offs
Experience integrating safety/guardrails, policy enforcement, and privacy preserving telemetry into production workflows aligned with enterprise compliance
Comfortable collaborating across research, engineering, product, and legal/compliance; excellent communication skills to explain methods and results to technical and non-technical stakeholders
Practical experience with experiment tracking, model registries, and CI/CD for ML
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
2026-01-17
2026-01-16
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