Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven …

Aug 18, 2016 · Please join us for our first Machine Learning Unconference, an experimental gathering driven by its participants rather than an organizing committee. The unconference ⁠ …

As machine learning engineer, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products. We're looking …

Oct 10, 2024 · We use open-source agent scaffolds to evaluate several frontier language models on our benchmark, finding that the best-performing setup — OpenAI's o1-preview with AIDE …

As a Machine Learning Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in …

Dec 23, 2022 · It was a tremendously exciting, challenging, and emotional experience. We solved ⁠ the challenge with deep reinforcement learning (RL), crazy amounts of domain randomization, …

We are looking for an experienced machine learning engineer to work on retrieval & search problems across our API and ChatGPT.

Feb 15, 2018 · Our two-stage technique works like this: a ‘student’ neural network is given randomly selected input examples of concepts and is trained from those examples using …

Aug 29, 2016 · Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for …

Feb 24, 2017 · Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for …