3 months ago
Base Salary
$295k - $445k/yr
Responsibilities
- Design and run experiments to improve agent behavior for complex computer use.
- Own end-to-end improvements to the post-training stack, including RL and data pipelines.
- Build evaluations and environments to identify model failures and create training data.
- Collaborate with product teams to translate user needs into model improvements.
- Work on early-training interventions that shape agent behavior.
- Decide on integrations and capabilities for major model runs.
- Enhance large-scale training machinery for reliability and efficiency.
- Debug failures in models and develop concrete hypotheses for improvements.
Requirements
- Strong technical fundamentals in machine learning, software engineering, or related fields.
- Hands-on experience with LLMs, RL, and model training systems.
- Ability to tackle open-ended problems with research and engineering skills.
- Focus on product impact and model behavior beyond just benchmarks.
- Capability to transition from vague problems to concrete experiments.
- Comfortable working across various teams and communicating effectively.
- Willingness to build systems and processes as needed by the team.
Categories
BackendData Science
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.