Research Scientist- AI and Machine Learning: Bayesian Modelling and Probabilistic Programming

Oracle Labs is searching for an outstanding Machine Learning and AI researcher with a focus on Bayesian Modelling and Probabilistic Programming to join our probabilistic modelling research team. The team develops Sandwood, a probabilistic programming language running on the Java platform, designed to allow easy integration with large enterprise applications written in Java. Our goal is to bring the power of Bayesian modelling to Oracle’s products, building on over a decade of work in probabilistic modelling in our lab.

We are passionate about research that both advances science and has impact in the real world. The successful candidate will be part of an amazing collaborative research team that publishes at the top venues. Our expertise includes probabilistic programming, inference performance optimization, tools for training deep learning models, language and code generation models, privacy preserving machine learning, and AI agents, just to name a few. Your contributions have the chance to create real impact on our products and advance science.

Sandwood is open source and further information on Sandwood can be found at http://www.sandwood.org

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 inference techniques and novel uses of inference techniques in Sandwood
• Development of Bayesian models for real world use cases
• 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 Bayesian models and statistics
• Strong understanding of probabilistic programming
• Excellent programming and debug skills in Java
• Broad understanding of Machine Learning techniques
• Experience with data preparation, model building and evaluation
• Outstanding research track record
• Experience collaborating in a team environment on research projects
• Excellent communication skills