Base Salary
$295k - $445k/yr
Responsibilities
- Design and run experiments to improve agent behavior with complex software.
- Own end-to-end improvements to the post-training stack, including data pipelines and model analysis.
- Build evaluations and environments to identify model failures and create training data.
- Collaborate with product teams to translate user needs into model enhancements.
- Work on early-training interventions that shape agent behavior.
- Decide on integrations and capabilities for major model runs.
- Enhance the machinery for large-scale training and launch.
- Debug failures in models and develop 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 over mere benchmark performance.
- Capability to transition from behavioral problems to concrete experiments.
- Comfortable working across various teams and communicating effectively.
- Willingness to build systems and processes as needed by the team.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.