3 months ago
Base Salary
$295k - $445k/yr
Responsibilities
- Design and run experiments to improve agentic model behavior.
- Own end-to-end improvements to the post-training stack.
- Build evals and environments to identify model failures.
- Partner with product teams to translate user needs into model improvements.
- Work on early-training and alignment interventions.
- Decide on integrations and capabilities for major model runs.
- Improve machinery for large-scale training and launch.
- Debug failures in shipped models and develop concrete hypotheses.
Requirements
- Strong technical fundamentals in machine learning, software engineering, or related fields.
- Hands-on experience with LLMs, RL, and model training.
- Ability to tackle open-ended problems with research and engineering skills.
- Focus on product impact and model behavior.
- Capability to move from vague problems to concrete experiments.
- Comfortable working across various functional boundaries.
- Desire to build systems and processes that support team needs.
- Prior background in consulting, finance, marketing, operations, or data science is a plus.
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.