Job Description
Oracle Labs is searching for an outstanding Machine Learning and AI researcher with a focus on security and privacy to join our research team. The goal of this project is to research, develop and transfer privacy preserving ML techniques that enable building ML models while ensuring the privacy and security of data and data subjects involved. We are passionate about research that both advances science and has impact in the real world. You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and AI. Our expertise includes tools for training deep learning models, language and code generation models, privacy preserving machine learning, probabilistic programming, inference performance optimization, and AI agents, just to name a few. Your contributions have the chance to create real impact on our products and advance science.
About Oracle Labs:
Oracle Labs is the sole organization at Oracle that is devoted exclusively to research. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Oracle Labs researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Oracle Labs research is focused on real-world outcomes: our researchers aim to develop technologies that will someday play a significant role in the evolution of technology and society. For example, chip multithreading and the Java programming language grew out of work done in Oracle Labs.
Career Level - IC3
What you'll be doing:
Research, design and implement novel privacy and security solutions applicable to large language models
Publish original research
Open source high quality code and reproducible research
Collaborate with other team members and teams
Transfer technology to product groups
Collaborate with external researchers
What we need to see:
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, relevant technical field, or equivalent practical experience.
Strong background of theory and practice of large language models as well as machine learning and deep learning
Strong understanding of privacy preserving machine learning technologies, and security issues in generative AI systems, as well as mitigation approaches such as Differential Privacy
Excellent programming and debug skills in Python, plus hands on experience with common machine learning frameworks, such as PyTorch
Experience in analyzing and collecting data from various sources, and thorough understanding of experimental practices, error analysis, and evaluation approaches
Outstanding research track record
Experience collaborating in a team environment on research projects
Excellent communication skills