About the role

What will you do at Oracle?

As a Machine Learning Engineer on the Generative AI Services team, you will lead

the architecture, design and development of distributed, scalable, and

high-performance systems for AI model training, fine-tuning, and inference.

Working closely with partner teams, applied scientists and software engineers,

you will build and optimize next-generation AI infrastructure that powers

large-scale generative AI workloads.

In this role, you will

lead analyzing model architectures to improve
performance, efficiency, and scalability, while leveraging cutting-edge
technologies to develop state-of-the-art AI systems and onboard frontier models.
You will also benchmark, diagnose, troubleshoot, and resolve issues across the
AI model lifecycle, including training, fine-tuning, and serving, ensuring
reliable and efficient production deployments. You will contribute to open
source frameworks such as vLLM, and SGLang and strengthen the position of OCI.
Additionally, you may perform other related responsibilities as needed. You
will lead a team of senior and junior members and guide them to deliver the
roadmap on time with high quality.
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. Discover your potential at a company
leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That’s why
we’re committed to growing a workforce that promotes opportunities for all with
competitive benefits that 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
[email protected] [[email protected]] 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.

Which skills does this role require?

Machine LearningGenerative AIDistributed SystemsModel TrainingModel Fine-tuningModel InferenceAI InfrastructurevLLMSGLangSystem ArchitectureBenchmarkingTroubleshootingScalabilityPerformance OptimizationTeam LeadershipCloud ServicesOCICloud InfrastructureModel ArchitectureFine-tuningInferenceAI LifecycleProduction DeploymentOpen SourceHigh-Performance ComputingFrontier ModelsLLMsAccessibilityProduct Strategy

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.