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.
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.