Teams at Realm Labs

Conduct ML research and applied work on LLM trust and safety (prompt injection, alignment, privacy, interpretability). Design and run experiments, read/write research papers, fine-tune and evaluate deep models, and implement research code using PyTorch/HuggingFace tools. Collaborate with engineers to productionize research; related student research topics may be considered.

Build scalable backend services and APIs (Python/Go) for enterprise AI deployments. Work on distributed systems, databases, cloud integrations, observability, and production reliability while collaborating with product and AI teams.

The role involves deploying and optimizing LLMs, designing the ML serving stack, and ensuring high-performance GPU services for production readiness.