Principal Machine Learning Engineer

Location: Seattle, WA, United States

Implements machine learning (ML) models for production. Ensures the readiness of machine learning models for deployment in production. Automates machine learning workflows. Creates infrastructure and frameworks to monitor the performance of machine learning models in deployment. Evaluates potential data quality, security, and/or privacy issues and their impacts on modeling. Provides troubleshooting and debugging support. Addresses issues in machine learning infrastructure and workflows. Collaborates with stakeholders to integrate machine learning models into new or extant systems. Develops, maintains, and refines tools, platforms, and services for internal use. Develops efficient, bug-free code from scratch. Maintains familiarity with current developments in the machine learning field and integrates knowledge into model development.

About Us

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.

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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.

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.