The opportunity
The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched. We work across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences for people.
What you'll do
Translate user and product goals into clear model requirements, system: architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation.
Build closed learning loops that turn product usage, explicit feedback, and: other user signals into datasets, evaluations, experiments, training priorities, and launch decisions.
Define success across offline evaluations and online product metrics,: balancing model quality, usefulness, latency, safety, reliability, and cost.
Partner closely with post-training research, applied product engineering,: Model Design, and Data Science to integrate capabilities into the mainline model stack.
Create reusable platforms and operating systems for evaluation,: experimentation, and signal collection so that new capabilities improve faster over time.
Use concrete product failures and emerging user needs to identify gaps, form: hypotheses, and shape the next wave of research and product investment.
What they're looking for
- Have deep expertise in product management or closely related experience,: including ownership of technically complex products or platforms.
- Bring deep fluency in one or more relevant domains: search and information retrieval, recommendation or personalization systems, ML platforms, large-scale data systems, model evaluation, or AI product infrastructure.
- Know how to pair offline evaluation with online experimentation and user: signals, and can distinguish a useful metric from a convenient one.
- Earn the trust of researchers and engineers through technical depth, crisp: judgment, and a willingness to engage directly with the details.
