The opportunity
The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and…
What you'll do
Drive design and implementation of LLM observability features.
Ideate, prototype, and scale new product features to provide insights and: drive improvements for generative AI systems
Work cross-functionally with other eng teams, product, UX, and applied: science to iterate fast and find product-market fit
Develop and extend tools for tracing, evaluating, and debugging LLMs
Influence architecture decisions and mentor engineers to build resilient, high-performance systems
Stay close to customer pain points and use those insights to guide product and engineering priorities
What they're looking for
- Stay current with industry trends and advancements in machine learning and: observability, driving innovation within the team
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
- Deep understanding of distributed systems and scalable backend architectures
- Hands-on experience building and shipping LLM-powered or GenAI applications.
