Research and develop improvements to models' personalization and agentic capabilities through reinforcement learning, dataset creation, and post-training methods. Requires strong ML engineering skills and research experience with novel models.
295k – 555k/yr
Hybrid7+ YOEML Engineering
About the role
Responsibilities
Own and pursue a research agenda to improve the proactivity and ability of our models to further user goals
Build robust evaluations for tracking modeling improvements
Design, implement, test, and debug code across our research stack
Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product
Requirements
Strong ML engineering skills and research experience, especially with novel and highly capable models
Deep understanding of machine learning and machine learning applications
Working knowledge of LLM post-training and evaluation approaches
Passionate about, or have experience thinking about, personalization and enabling users to achieve their goals
Comfortable diving into a large ML codebase to debug
Thrive in a dynamic and technically complex environment
Nice-to-Haves
Passionate about product-driven research
Skills
Machine LearningReinforcement LearningLlm Post-TrainingModel EvaluationPythonPyTorchTensorFlowDataset CreationPersonalization SystemsAgentic AI
Research 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.
295k – 555k/yr
Hybrid7+ YOEML Engineering
Agent Post-Training, Artifacts Research
OpenAISan Francisco, CA
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.
295k – 445k/yr
On-site7+ YOEML Engineering
Agent Post-Training, Computer Use Research
OpenAISan Francisco, CA
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.
295k – 445k/yr
On-site7+ YOEML Engineering
Agent Post-Training, Connectors Research
OpenAISan Francisco, CA
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.
295k – 445k/yr
On-site7+ YOEML Engineering
Context Researcher
OpenAISan Francisco, CA
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.