Principal AI/ML Researcher / Engineer In Bayesian, Large Foundational Systems, and Distributional Reinforcement Learning

The role involves leading research and development of advanced AI models, integrating Bayesian frameworks with large-scale systems, and innovating ways to interoperate LLMs and LMMs into the Bayesian framework. It also requires ensuring these models perform efficiently at scale and are integrated into live systems that impact product and user experience.

Candidates will join an innovative team pushing engineering boundaries. Depending on the domains associated with this job, you will be expected to design clean APIs, write automated test cases, and participate in peer code reviews. We value developers who focus on performance optimization, fast load times, and simple, maintainable architectures.