Machine Learning Engineer 4
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Build AI-enabled workflows and internal tools for Oracle business units, prototyping state-aware automation and LLM applications that improve how work gets done. You'll work with prompts, retrieval systems, and model evaluation while consulting directly with stakeholders on adoption. This requires a degree in AI, machine learning, computer science, or related field plus strong programming foundations and working knowledge of LLMs and ML. Experience with Git, cloud platforms, and LLM application development preferred. US-based, salary $114,600–$234,600 annually.
Written from this posting by Neural Jobs AI. The full description is below.
AI Acceleration is a product research initiative within the firm, building practical AI capability for the way work gets done. Its broader goal is to research, prototype, and scale useful AI capabilities for Oracle business units. Our work spans two connected areas: state-aware automation that moves complex workflows forward with the right context, controls, and handoffs; and AI enablement that helps teams complete everyday tasks more effectively. We are looking for an AI Ops Engineer who wants to help turn those ideas into useful, reliable tools.
AI Acceleration is a product research initiative within the firm, building practical AI capability for the way work gets done. Its broader goal is to research, prototype, and scale useful AI capabilities for Oracle business units. Our work spans two connected areas: state-aware automation that moves complex workflows forward with the right context, controls, and handoffs; and AI enablement that helps teams complete everyday tasks more effectively. We are looking for an AI Ops Engineer who wants to help turn those ideas into useful, reliable tools.
Role Summary
• Contribute to a product research initiative that builds and scales AI-enabled workflows and internal tools for Oracle business units.
• Turn internal business needs into structured, testable solutions that improve how work gets done.
• Create a practical, responsible path for AI adoption through visible, well-organized delivery.
• Bring clear, creative thinking, strong problem framing, and disciplined technical judgment.
What you will do
• Build state-aware AI automations, scripts, internal tools, and workflow components that preserve context and support clear handoffs.
• Turn standard operating procedures into usable handoffs, documentation, and AI-enabled workflow designs; prototype practical use cases for everyday work.
• Work fluently with LLMs and their artifacts - prompts, system instructions, evaluations, retrieval configurations, knowledge sources, and generated outputs - while validating quality and reliability.
• Consult directly with Oracle business units, using adoption metrics and personalized conversations to guide change and improve outcomes.
Required Qualifications
• Degree in AI, machine learning, computer science, data science, philosophy, or a related discipline, or equivalent practical experience.
• Strong programming and computer science foundations, including data structures, algorithms, and dynamic programming.
• Working knowledge of ML and LLM applications, linear algebra, matrices and tensors, visualization, numerical computation, and model evaluation.
• Ability to structure ambiguous work, manage priorities, communicate clearly, and apply sound judgment when using AI tools.
Preferred Qualifications
• Experience with Git, cloud platforms, databases, REST APIs, MCPs, command-line tools, and LLM application development.
• Experience with GPU-based computation, directed acyclic graph workflows, development operations, or AI workflow automation.
• Experience with repository and artifact management, documentation systems, agile delivery, or high-volume work management.
• Experience translating processes into handoffs, supporting technology adoption, or advising internal business stakeholders.
What Success Looks like
• Deliver well-scoped AI-enabled improvements independently and maintain a clear, structured work plan.
• Help Oracle business units identify credible AI use cases and translate operating procedures into clear handoffs.
• Build repeatable patterns for LLM-enabled workflows, documentation, and responsible AI adoption.
• Use adoption measures and stakeholder conversations to improve how solutions are understood and used.
Career Level - IC4
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Oracle is a global enterprise-software and cloud-computing company.
Oracle develops databases, cloud infrastructure, business applications, developer tools, analytics, and industry-specific technology platforms.
183K – 253K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 36 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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