Position Overview
PLEASE NOTE: This role will be working in the Redwood City, CA office. The Oracle Applied AI team is at the forefront of developing cutting-edge AI solutions that push the boundaries of machine learning, LLM applications, and AI agents. We deploy scalable, production-ready solutions for Oracle’s Enterprise customers. If you are passionate about data, LLM, AI agents, Retrieval-Augmented Generation (RAG), and enterprise scale AI, we want you on our team!
Key Responsibilities
- Develop STOA LLM, RAG and agent evaluation solutions and integrate with Oracle GenAI products.
- Develop algorithms and solutions using Reinforcement Learning, Adversarial Generation and other data augment techniques for auto-evaluation.
- Design, develop, and deploy AI-driven applications using advanced Machine Learning and Agentic Workflows.
- Implement Retrieval-Augmented Generation (RAG) architectures and AI Agents for intelligent automation and decision-making.
- Work with Oracle Vector Database and other cutting-edge retrieval systems to optimize AI performance.
- Optimize ML models and AI workflows for real-world applications, ensuring efficiency and reliability in production environments.
- Collaborate with cross-functional teams to integrate AI solutions into products and services at scale.
- Communicate and share work at both internal and external technical communities.
Required Qualifications
- Minimum of 12 years in a related position.
- Master’s degree in Computer Science, Statistics, or Machine Learning; Ph.D. in AI/ML or Statistics preferred.
- Real-world experience in productionizing AI/ML systems and model development life cycles.
- Strong expertise in Machine Learning/AI, Statistics, and Algorithms.
- Expertise in large-scale distributed or high-performance systems.
- Deep understanding of Agentic Workflows, AI Agents, or RAG architectures.
- Hands-on experience with Crew.ai, Langchain, or similar AI development frameworks (a plus).
- Knowledge of vector databases, particularly Oracle Vector Database (a plus).
- Experience deploying AI applications/services in hyperscalers (AWS, Azure, GCP, OCI) is highly preferred.
- Strong problem-solving skills and the ability to build AI-powered solutions from concept to deployment.
- Strong communication skills and comfort with ambiguity.
- Experience with building 0-1 products is highly preferred.
- Proficiency in Python and familiarity with relevant ML/AI libraries.
Benefits & Perks
- Compensation Range: USD $96,800 to $251,600 per annum; may be eligible for bonus, equity, and compensation deferral.
- Medical, dental, and vision insurance, including expert medical opinion.
- Short term and long term disability coverage.
- 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 with flexible vacation accrual based on tenure and work hours.
- 11 paid holidays and 72 hours of paid sick leave (with annual refresh and carry-over cap).
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning and group legal services.
- Voluntary benefits including auto, homeowner, and pet insurance.