Minimum qualifications:
Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
2 years of industry experience as a Research Engineer (RE) or
Software Engineer (SWE).
2 years of experience building in Python.
2 years of experience with LLM agents, LLM inference/serving, reinforcement learning for LLMs, or multi-agent orchestration.
Experience building 0-to-1 systems, pipelines, and scalable infrastructure.
Preferred qualifications:
Experience engineering search and retrieval pipelines, time-series workflows, or simulation environments with synthetic data generators.
Experience working alongside research teams to convert groundbreaking, open-ended research ideas into robust prototypes and production-grade products.
A demonstrated interest in judgemental forecasting, decision-making under uncertainty, prediction markets, or AI safety and calibration.
A track record of impactful work, demonstrated through publications, open-source contributions, or shipped products and scalable engineering systems.
Expertise in using modern AI tools to design, debug, and build complex software systems efficiently.