Base Salary
$380k - $555k/yr
Responsibilities
- Build and scale retrieval infrastructure across indexing, serving, and query execution.
- Develop low-latency, high-throughput systems for real-time model interaction.
- Partner with research to productionize embedding and retrieval techniques.
- Support dense, sparse, and hybrid retrieval pipelines.
- Own system performance, reliability, and observability at scale.
- Collaborate with Pretraining, Inference, and Product teams to integrate retrieval end to end.
- Contribute to model-system interfaces for agentic workflows.
Requirements
- Experience building and scaling distributed systems.
- Background in search, retrieval, or indexing systems.
- Familiarity with embedding-based or ML-powered systems.
- Experience with performance optimization and production reliability.
- Ability to work across machine learning and systems boundaries.
- Ability to apply first-principles thinking in ambiguous problem spaces.
Categories
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.