Experienced Applied Scientist for developing and implementing cutting-edge AI tools, workflows and agentic systems to improve Oracle customer experiences. You will be part of a team of world-class scientists in exploring anomalies, contextual agents, agentic chatbots and multi-agent systems.

Oracle’s Cloud Infrastructure (OCI) team is building new Infrastructure-as-a-Service technologies that operate at high scale in a broadly distributed multi-tenant cloud environment. Our customers run their businesses on our cloud, and our mission is to provide them with best-in-class compute, storage, networking, database, security, and an ever-expanding set of foundational cloud-based services.

The Support organization in OCI is building new services that operate at high scale in a broadly distributed multi-tenant cloud environment. We are addressing complex, large scale and connected event platforms that manifests as the following services – Oracle Support Center and Oracle Support Digital Assistant. These services are cornerstones of the Customer experiences offered by OCI and offer a wide variety of technical problems to be solved and customer focused innovations to be created.

In the OCI Support Tooling team, we are dedicated to developing a scalable platform to meet the expanding needs of Oracle Cloud. Our goal is to optimize support costs while delivering a top-tier support experience to our customers. We utilize advanced rule-based systems and machine learning-driven alerting, as well as interactive bots to assist with customer issues. The team is focused on enhancing these fundamental capabilities and continually improving the customer experience.

We’re looking for applied scientists with expertise and passion in solving difficult problems in distributed systems with high availability. If this is you, at Oracle you can design and build innovative new models from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives.

Responsibilities:

• Research and Development: Conduct in-depth research on advanced AI/ML techniques.
• Model Development: Design, develop, and train state-of-the-art AI/ML models that meet the highest quality standards.
• Team Leadership: Build and mentor a high-performing team of scientists and engineers.
• Collaboration: Work closely with cross-functional teams to integrate code generation capabilities into various applications and products.
• Innovation: Identify new opportunities for image generation and explore emerging technologies.
• Stay Updated: Maintain a deep understanding of industry trends and advancements in Generative AI.

Qualifications and Experience:

• PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 8+ years relevant experience
• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
• Extensive experience in image generation, computer vision, and deep learning
• Proven track record of leading research and development projects
• Strong understanding of machine learning algorithms and architectures
• Excellent problem-solving and analytical skills
• Strong leadership and communication abilities

If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply.

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