27 days ago
Base Salary
$126k - $264k/yr
Responsibilities
- Lead the design, development, evaluation, and deployment of LLM-based agents and other AI capabilities.
- Build agent workflows combining reasoning, tool use, information retrieval, multi-step tasks, and human review.
- Develop production-quality code and collaborate on system design, integration, performance, monitoring, and improvement.
- Create practical evaluations for agent behavior and model outputs, including success, accuracy, reliability, safety, latency, and failure modes.
- Apply statistical analysis, experimentation, and traditional machine learning to improve or explain system performance.
- Investigate errors and unexpected behavior, identify root causes, and deliver measurable improvements.
- Partner with product, engineering, clinical, data, security, and compliance teams on scalable and responsible AI solutions.
- Set technical direction for complex projects, communicate tradeoffs, and mentor scientists and engineers through design and code reviews.
- Assess emerging approaches and frameworks and adopt them when they provide customer value.
Requirements
- At least 10 years of relevant experience without a degree, or a related bachelor’s degree and 7 years of experience, or a related master’s degree and 5 years of experience, or a related doctorate and 3 years of experience.
- At least 3 years of experience with an applicable programming language and strong production-quality Python skills.
- Hands-on experience developing LLM or generative AI applications and assessing output quality and system behavior.
- Experience designing experiments, performing statistical analysis, and evaluating AI or machine learning systems.
- Ability to lead ambiguous technical work and collaborate across science, engineering, and product teams.
- Strong written and verbal communication skills.
- Healthcare, life sciences, pharmaceutical, clinical trials, privacy-sensitive, regulated, or high-reliability AI experience is preferred but not required.
- Experience building AI agents with tool use, orchestration, multi-step reasoning, and evaluation is preferred.
- Experience with retrieval-augmented generation, information retrieval, model adaptation, or LLM evaluation is preferred.
- Experience mentoring technical contributors and influencing product or technical direction is preferred.
- At least 3 years of experience creating technical or academic publications is preferred.
Benefits
- U.S. hiring range is $126,200 to $264,100 per annum, with potential bonus, equity, and compensation deferral.
- Benefits include medical, dental, vision, disability, life insurance, flexible spending accounts, commuter and parking benefits, 401(k) match, paid time off, paid holidays, paid sick leave, and paid parental leave.
- Additional benefits include adoption assistance, an employee stock purchase plan, financial planning, group legal services, and voluntary insurance benefits.
- U.S.-based employees complete identity verification involving biometric information, with accommodations potentially available following an individualized assessment.
Tech Stack
Categories
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.