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© All Rights Reserved. ApplyBlast.com
Oracle
This role focuses on developing, training, and validating machine learning models to inspect performance statements, utilizing statistical and ML methods. The position involves building and maintaining training and inference pipelines in Python, evaluating model quality, and collaborating with domain experts to identify new anomaly patterns. Additionally, the role includes deploying and monitoring models in production while maintaining and optimizing an existing Java module for statistical plausibilization.
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.
Oracle didn’t post a salary, so this is our estimate from similar listings.
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