Oracle
Senior Principal Machine Learning Engineer
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Senior Principal Machine Learning Engineer
role at
Oracle Oracle is seeking a
Senior Principal Machine Learning Engineer
to join our Data Services team within Oracle Analytics. Our team is responsible for innovating, building, and supporting data service management technologies that underpin our diverse product portfolio. The mission of the Data Services organization is to facilitate the development of advanced analytical and AI applications across the Oracle ecosystem, including Databases, Applications, and Object Storages. We offer capabilities for data management and processing such as Big Data Service, Data Catalog, Data Flow, Data Integration Service, and Data Lake. Our new data product aims to provide a unified interface for data loading, security, notebook authoring, data pipelines, ML training, SQL querying, and data sharing, emphasizing developer experience and AI assistance. This role offers a unique opportunity to build a cutting-edge service from scratch within a rapidly growing team of energetic engineers. You should thrive in a fast-paced, agile environment, valuing simplicity and scalability, and be eager to contribute to a powerful data platform. Responsibilities
Design and develop scalable, distributed, and resilient software components and services for our new product. Lead architecture discussions, code reviews, and technical planning. Own the full software development lifecycle, from design to deployment and operation. Mentor and lead other engineers, promoting best practices and innovation. Qualifications
BS/MS/PhD in Computer Science or related field with 10+ years of experience. Proficiency in Java, Python, SQL, and distributed systems. Experience with microservices, Kubernetes, performance optimization, and cloud platforms (Oracle, AWS, Azure, GCP). Strong understanding of AI/ML technologies, including Generative AI, LLMs, RAG, Search, Code Generation, and Big Data frameworks like Apache Spark. Excellent collaboration, troubleshooting, and communication skills. Additional Information
This role is based in the US with a salary range of $96,800 - $251,600 annually, plus bonuses and benefits. Oracle is committed to diversity and inclusion and provides accessible accommodations during the hiring process. About Oracle
As a leader in cloud solutions for over 40 years, Oracle fosters innovation and inclusivity, offering a range of benefits and opportunities for growth worldwide.
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Join to apply for the
Senior Principal Machine Learning Engineer
role at
Oracle Oracle is seeking a
Senior Principal Machine Learning Engineer
to join our Data Services team within Oracle Analytics. Our team is responsible for innovating, building, and supporting data service management technologies that underpin our diverse product portfolio. The mission of the Data Services organization is to facilitate the development of advanced analytical and AI applications across the Oracle ecosystem, including Databases, Applications, and Object Storages. We offer capabilities for data management and processing such as Big Data Service, Data Catalog, Data Flow, Data Integration Service, and Data Lake. Our new data product aims to provide a unified interface for data loading, security, notebook authoring, data pipelines, ML training, SQL querying, and data sharing, emphasizing developer experience and AI assistance. This role offers a unique opportunity to build a cutting-edge service from scratch within a rapidly growing team of energetic engineers. You should thrive in a fast-paced, agile environment, valuing simplicity and scalability, and be eager to contribute to a powerful data platform. Responsibilities
Design and develop scalable, distributed, and resilient software components and services for our new product. Lead architecture discussions, code reviews, and technical planning. Own the full software development lifecycle, from design to deployment and operation. Mentor and lead other engineers, promoting best practices and innovation. Qualifications
BS/MS/PhD in Computer Science or related field with 10+ years of experience. Proficiency in Java, Python, SQL, and distributed systems. Experience with microservices, Kubernetes, performance optimization, and cloud platforms (Oracle, AWS, Azure, GCP). Strong understanding of AI/ML technologies, including Generative AI, LLMs, RAG, Search, Code Generation, and Big Data frameworks like Apache Spark. Excellent collaboration, troubleshooting, and communication skills. Additional Information
This role is based in the US with a salary range of $96,800 - $251,600 annually, plus bonuses and benefits. Oracle is committed to diversity and inclusion and provides accessible accommodations during the hiring process. About Oracle
As a leader in cloud solutions for over 40 years, Oracle fosters innovation and inclusivity, offering a range of benefits and opportunities for growth worldwide.
#J-18808-Ljbffr