Staff Applied Scientist

Job Summary

A company is looking for a Staff Applied Scientist - Observability Data Platform.

Key Responsibilities

• Design and prototype intelligent systems for AI-native observability
• Lead efforts in applying reinforcement learning and hybrid approaches to infrastructure decision-making
• Collaborate with AI researchers and platform engineers to create experimentation loops and verifiers

Required Qualifications

• BS/MS/PhD in a scientific field or equivalent experience
• 8+ years of experience in systems engineering, database internals, or infrastructure research
• Strong software engineering foundation, ideally in C++, Rust, Go, or Python
• Deep expertise in areas like query optimization, reinforcement learning, or distributed systems design
• Experience in applying search, planning, or learning techniques to real-world optimization problems