Principal AI/ML Researcher / Engineer In Bayesian, Large Foundational Systems, and Distributional Reinforcement Learning
About the role
The role involves leading research, development, and innovation of advanced AI models, bridging theoretical advancements to production systems, architecting large-scale Bayesian frameworks, and ensuring scalable and efficient integration of various AI/ML technologies. It also includes technical leadership, collaboration with cross-functional teams, and operational excellence in maintaining robust AI/ML pipelines.
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.