Software Engineer, Model Capabilities
Hybrid (San Francisco, California), Hybrid (New York, New York)$255k - $300kFull-timePosted 3w ago
About the role
Notion is seeking a Software Engineer to join the Model Capabilities team, responsible for integrating frontier models, ensuring scalable and reliable inference, and building model-level capabilities for Notion AI.
Responsibilities
- Bring new frontier models into production quickly, making them available for our users and our engineers.
- Make inference reliable: better error categorization, self-healing retries, and cross-provider failover.
- Own observability for the model layer, driving down both time to detection and time to fix.
- Build new model-level capabilities and help product teams adopt them.
- Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner.
Qualifications
- Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now.
- AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't.
- Production AI systems experience: You've built and operated systems on top of LLM APIs, you understand token economics, streaming, tool calling, context limits, and production failure modes.
- Measurement before conviction: You define what 'better' means, use evaluation to test it, and are willing to be proven wrong by data.
- Cost and performance instincts: You treat latency and dollars as product qualities, balancing them with output quality.
Skills
Required:Frontier model adoption and integrationProduction AI systems
Last updated Sep 30, 2026. Interested? Apply on the company site.
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