Design and develop microservices architecture using Java Spring Boot, ensuring system performance, scalability, and reliability. Implement and manage microservices components such as service discovery, configuration management, and load balancing with Spring Cloud. Optimize and manage data storage and retrieval systems like ES/HBase ensuring efficient data handling.

We’re looking for an RL researcher or practitioner who will apply reinforcement learning to solve real-world customer communication challenges. You'll work closely with the CTO and Engineering team to improve sample efficiency, test credit assignment and attribution algorithms, investigate and improve our approach to action space featurization, reward shaping, and combining RL with constrained optimization.