Oracle
The Machine Learning Engineer role at Oracle focuses on building scalable, production-ready ML systems and leveraging Large Language Models for Generative AI solutions. The position involves collaborating with cross-functional teams to develop conversational AI and enhance user experiences through cutting-edge ML techniques. The ideal candidate combines strong technical expertise in ML/AI with full-stack leadership and product sense to drive strategic technology choices.
Oracle Corporation is a multinational technology company that builds enterprise software, cloud infrastructure, and engineered systems for large organizations. Best known for the Oracle Database, the company also offers a broad portfolio of enterprise applications (ERP, HCM, CX), analytics, middleware, Java, and hardware, plus Oracle Cloud Infrastructure (OCI) with SaaS, PaaS, and IaaS services. Oracle supports customers through consulting, managed services, and global technical support to migrate and modernize mission‑critical systems. Enterprises choose Oracle for its integrated stack, scalable performance, and enterprise‑grade security and reliability.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Oracle.
Machine Learning Engineer
Applied Materials
Machine Learning Research Engineer - Remote
Bright Vision Technologies
Machine Learning Research Engineer - Remote
Bright Vision Technologies
Principal Machine Learning Scientist
Dream11
Scientist II Machine Learning Engineer (LLM & GenAI Specialist)
Owkin
Machine Learning Scientist
Axon