Sr. Principal Machine Learning Engineer (IC5)

Description

At Oracle Cloud Infrastructure (OCI) we are building the next generation of AI applications that transform how enterprises get work done. One of our flagship initiatives is an intelligent multi-agent system designed to help professionals across domains query data generate insights and automate workflows through natural language.

As part of the AI Applications team you will design and build agentic systems that use LLMs to plan reason and take actions across complex software workflows. You will architect tool-using multi-step agents define outcomes and constraints develop evaluation suites and drive continuous self-correction loops. You will work at the intersection of backend engineering and applied ML integrating LLMs retrieval enterprise data and deterministic policy layers into safe reliable agents that can autonomously perform real work. Engineers who think probabilistically enjoy iterating on system behavior and can diagnose and improve agent performance will excel in this role.

Minimum Qualifications

• Bachelors degree in Computer Science or equivalent experience.
• 3 years of professional software development experience.
• Strong coding skills in Python with the ability to work comfortably with LLM APIs and model outputs.
• Experience building backend services or orchestration layers that integrate with external APIs or tools.
• Ability to work with probabilistic model behavior iterative loops and multi-step workflows rather than only deterministic logic.
• Ability to evaluate test and refine system behavior based on runtime signals logs and feedback rather than static unit tests alone.

Preferred Qualifications

• Masters or PhD in Computer Science Machine Learning or a related technical field.
• Experience building or integrating LLM-powered applications or agents.
• Familiarity with agent frameworks such as LangChain LangGraph or similar orchestration libraries.
• Understanding of agentic design patterns including planning tool use self-correction and long-horizon workflows.
• Understanding of retrieval embeddings routing and tool-calling mechanisms.
• Experience designing constraints safety checks or evaluation suites for agentic systems.
• Experience with cloud-native environments (Docker Kubernetes CI/CD).
• Interests or prior-work in long-horizon reasoning challenges

Responsibilities

• Design and build agentic workflows that enable LLMs to plan reason use tools and take multi-step actions safely.
• Implement the APIs services and runtime layers that connect agents with enterprise data retrieval systems and deterministic policy checks.
• Work with product teams to define outcomes constraints and evaluation methods for autonomous agents operating in complex workflows.
• Ensure production reliability through strong observability test harnesses agent evaluation pipelines and continuous refinement of agent behavior.
• Participate in design and code reviews contributing to high-quality engineering practices and helping evolve the architecture for agent-first applications.

Qualifications
Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96800 to $251600 per annum. May be eligible for bonus equity and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge skills experience market conditions and locations as well as reflect Oracles differing products industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. 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. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5