As a Research Systems Engineer, you will bridge the gap between research and production. You'll build the infrastructure that enables our research team to rapidly prototype, experiment, and deploy optimization algorithms at scale. Responsibilities • Design and build experimentation infrastructure for ML optimization research • Create scalable pipelines for running optimization experiments across diverse agent systems • Develop tooling for experiment tracking, reproducibility, and analysis • Optimize system performance for large-scale optimization runs • Work with researchers to productionize successful algorithms • Build monitoring and observability for research infrastructure Qualifications • Strong software engineering skills with experience in distributed systems • Experience building infrastructure for ML research or experimentation • Proficiency in Python and experience with ML frameworks • Familiarity with cloud platforms (AWS, GCP) and containerization • Strong debugging and optimization skills