Oracle Cloud Infrastructure (OCI) is looking to solve exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. They are building a platform for AI/ML evaluation & benchmarking and revolutionizing how high-quality synthetic data generation works. They are also working at the forefront of Generative AI (GenAI) landscape, working with teams across Oracle on multi-modal data generation and leading the framework for Responsible AI (RAI) across Oracle.
Requirements
- 6-10+ years of developing and shipping enterprise distributed and/or cloud native systems
- Strong grasp of system design fundamentals and distributed systems architectural best practices
- Demonstrated ability to write great code in Java, Python, or similar OO languages
- Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols
- Experience with containers and container orchestration technologies (Kubernetes, Docker)
- Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation
- Algorithms: Transformer models, Attention mechanism, Prompt tooling
Responsibilities
- Design and develop AI software in Java, Python, and other languages.
- Participate in the entire software lifecycle – development, testing, CI/CD and production operations
- Participate in the entire model development cycle - training, fine-tuning, model serving, evaluation/benchmarking and human preference learning.
- Apply engineering principles for defining robust and maintainable architectures and designs.
- Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI
- Design and build distributed, scalable, fault tolerant software systems to facilitate development of GenAI models.
- Balance between product feature development and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call.
Other
- BS or MS degree in computer science, or equivalent
- Strong desire to make an impact and thrive in collaborative and energetic environments
- Ability to effectively communicate technical concepts verbally and through design aspects
- Data science and machine learning knowledge would be helpful, but not required
- Production experience with Cloud and ML technologies
