About the role
AI Specialist - Representation and Reinforcement Learning - Xanadu - Career Page Skip To Job Description View All Jobs View Our Website AI Specialist - Representation and Reinforcement Learning Toronto, ON, Canada Full Time AI/ML Mid Level Share About Xanadu: Xanadu’s mission is to build quantum computers that are useful and available to people everywhere. At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems and literally change the world. And that is something to be excited about! Your role and
responsibilities: As an AI Specialist at Xanadu, you will drive applied AI initiatives by deeply analyzing diverse R&D data and processes. Using state-of-the-art machine learning and AI techniques, such as representation learning, generative modeling, reinforcement learning etc., you will uncover hidden patterns in research across various technical fields. This work will directly contribute to developing internal R&D tool stacks to advance the first commercially viable quantum computer. The AI team focuses on building and improving modeling, optimization, simulation, data processing, and design methodology for all internal research. At the intersection of multiple technical disciplines, you will collaborate with leading researchers, scientists, engineers, and software developers, using cutting-edge AI/ML to enhance software tools and potentially transform research processes. You will: Investigate and analyze complex structured and unstructured data from various internal R&D projects to identify key trends and insights. Develop generalizable representation/reinforcement/generative learning strategies for diverse research data, addressing both theoretical and engineering challenges. Design and implement machine learning and optimization algorithms based on learned representations to solve specific R&D problems. Develop and rigorously test new ML algorithms and tool kits to improve R&D efficiency. Collaborate closely with hardware engineers and scientists to create and implement novel ML-driven solutions for complex research challenges. Establish and maintain reproducible data analysis and modeling workflows. At Xanadu, we primarily work with Python, Jupyter, Jax, GitHub, Docker, CI pipelines, and multiple cloud platforms. Proficiency in these technologies is essential. Basic
