OpenAISan Francisco, CAResearch Engineer/Scientist shaping personalities and behaviors of personalized AI models like ChatGPT using RL, reward modeling, synthetic data, and post-training methods. Requires strong ML engineering and research experience with large models.
Train frontier models to generate polished artifacts (docs, spreadsheets, slides) by owning post-training improvements across RL, data, evals, and alignment. Requires strong ML fundamentals and hands-on LLM/RL experience.
Train frontier models to operate computers, browsers, and desktops. Design experiments, build evals, own post-training pipelines (RL, data, graders), and ship improvements into OpenAI agents.
Train frontier agents to interface with professional software via code, APIs, and structured integrations. Design experiments, own post-training improvements (RL, evals, data), and ship capabilities into major model runs.
Context Researcher on the Agent Post-Training team scaling compute on context for frontier agent models. Designs experiments, owns post-training improvements, builds evals, and ships capabilities into Codex and ChatGPT.
Help shape OpenAI agent personality by turning qualitative collaboration insights into evals, training data, reward signals, and model improvements that reach production.