Oracle
Lead Principal Machine Learning Engineer
San Francisco, California, USA · Principal · full-time
Sponsorship not specified$170k-$355kDetected 24 days ago
PythonDistributed SystemsCode ReviewVector DatabasesCloud PlatformsDockerKubernetesMachine LearningLLMsRAGAgentic AILLMOpsLangGraphAI OrchestrationA/B TestingCybersecurityIncident ResponseAccessibilityManual TestingLeadershipCommunication
About the role
- Integrate AI agents securely and reliably with enterprise APIs, cloud services, databases, identity systems, secrets management, and external systems.
- Establish AgentOps and LLMOps practices for tracing, monitoring, eval suites, regression testing, experimentation, safety guardrails, prompt/tool versioning, and production reliability.
- Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first development.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, AI/ML, Engineering, or a related field, or equivalent practical experience.
- 12+ years of professional software engineering experience, including significant ownership of production systems
- Proven track record as a Staff, Senior Staff, Principal, or equivalent technical leader influencing architecture and execution across multiple teams.
- Hands-on experience with production AI systems, agentic AI applications, autonomous workflows, tool-using agents, multi-step orchestration, or multi-agent systems.
- Practical experience with orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar ecosystems.
- Strong programming skills in Python and ability to contribute high-quality production code, reviews, tests, and debugging in complex distributed environments.
- Strong expertise with Kubernetes, Docker, cloud-native infrastructure, service-to-service communication, scalability, fault tolerance, observability, and performance analysis.
- Experience defining SLIs/SLOs, production readiness criteria, incident response practices, monitoring, tracing, experiments, and reliability programs for AI or distributed systems.
- Strong understanding of AI safety, governance, security, and operational risks for autonomous or semi-autonomous systems, including data handling, access control, auditability, and human accountability.
Nice to have
- Experience optimizing large-scale GPU inference or training workloads for latency, throughput, utilization, availability, and cost.
- Experience integrating AI systems with enterprise APIs, databases, cloud services, vector databases, embeddings, retrieval systems, identity systems, and policy enforcement layers.
- Experience with LLM fine-tuning, long-context systems, reasoning models, model routing, caching, batching, quantization, or emerging generative AI research.
- Experience using AI-assisted software development tools such as Codex, Claude Code, Cursor, Copilot, or similar systems in large-scale engineering environments.
- Track record of defining architectural standards, platform capabilities, or engineering practices adopted across multiple teams or organizations.
- Experience in enterprise, cloud infrastructure, regulated, security-sensitive, or mission-critical environments.
- 401(k) Savings and Investment Plan with company match 8.
- 11 paid holidays 10.
Compensation
- $170k-$355k
Benefits
- Medical, dental, and vision insurance, including expert medical opinion 2.
- Short term disability and long term disability 3.
- Life insurance and AD&D 4.
- Supplemental life insurance (Employee/Spouse/Child) 5.
- Health care and dependent care Flexible Spending Accounts 6.
- Pre-tax commuter and parking benefits 7.
- 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.
- 72 hours of paid sick leave upon date of hire.
Company info
- Career Level - IC5 About Us Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care.
- And with AI embedded across our products and services, we help customers turn that promise into a better future for all.
Equal opportunity
- If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States.
This listing is sourced directly from Oracle's careers page and normalized into a canonical job model.