Principal Machine Learning Engineer (IC4)
Oracle
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 workflows. In this role you will implement multi-step agent flows, integrate tools and enterprise systems, define outcomes and constraints, build evaluation suites, and iterate on self-correcting behavior. 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 capable of performing real tasks. Engineers who enjoy iterating on system behavior and improving agent reliability will excel in this role.
Minimum Qualifications
- Bachelor’s degree in Computer Science or equivalent experience.
- 3+ years of professional software development experience
- Strong coding skills in Java, Python and familiarity with LLM APIs and model outputs.
- Experience building backend services, integrations, or orchestration layers for multi-step workflows.
- Comfort working with probabilistic model behavior, iterative loops, and multi-step reasoning tasks.
- Ability to evaluate, test, and refine agent behavior using runtime signals and structured feedback.
Preferred Qualifications
- Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of professional software development experience
- Experience building or integrating LLM-powered applications or agents.
- Familiarity with agent frameworks such as LangChain, LangGraph, or similar libraries.
- Understanding of retrieval, embeddings, routing, and tool-calling patterns.
- Experience designing constraints, safety checks, or evaluation suites for LLM-integrated systems.
- Experience working in cloud-native environments (Docker, Kubernetes, CI/CD).
- Interest in long-horizon reasoning such as repo-level tasks, migrations, or code-from-spec workflows.
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Looking for Principal Machine Learning Engineers passionate about building powerful agentic AI systems that transform LLMs into capable, end-to-end executors of real production workflows.
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: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
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 Oracle’s 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 - IC4
Responsibilities
- Design and implement agentic workflows that enable LLMs to plan, reason, use tools, and take multi-step actions.
- Build the APIs, services, and runtime layers that connect agents with enterprise data sources, retrieval systems, and policy enforcement layers.
- Work with product teams to define outcomes, constraints, and evaluation methods for autonomous agents.
- Improve production reliability through observability, test harnesses, evaluation pipelines, and iterative refinement of agent behavior.
- Participate in design and code reviews and contribute to high-quality engineering practices and agent-first architectural design.
- Contribute to research, prototyping, and tuning efforts for planning, tool use, and workflow decomposition.