Member of Technical Staff, Agents

Sobre el puesto

About the Role Join a small, senior team building autonomous AI assistants for executive workflows. You will develop agent capabilities and evaluation systems that help ensure real-world tasks are completed reliably, with measurable quality. What You'll Do • Build agents that complete delegated work end to end for real users. • Define reliable measures of success for agent tasks and maintain representative evaluations. • Develop new agent capabilities and validate them before they reach users. • Investigate production failures and deliver fixes that address underlying causes. • Build systems to detect known failure patterns and emerging issues at scale. • Improve agent recovery when tools or websites fail. • Create repeatable methods for engineers to measure the impact of agent changes. What We're Looking For • At least 3 years of data science or machine learning experience building evaluation systems, metrics, or quality measurement for products. • Production-quality Python and SQL skills, including experience analyzing large datasets and building automated pipelines. • Experience designing evaluation frameworks, datasets, measurable criteria, and appropriate metrics. • A track record delivering production AI, machine learning, agent, or agent-evaluation systems for real users. • Experience improving agent reliability, owning systems end to end, and measuring results in production. • Familiarity with statistics, experiment design, and realistic end-to-end simulations; experience with fine-tuning, post-training, or reinforcement learning is valuable. • Experience with Python, Django, React, and TypeScript; familiarity with evaluation tools such as Braintrust or Raindrop is useful. • Demonstrated progression and sustained experience in a role, with the ability to work through ambiguity and ship quickly. Compensation & Benefits Base salary is $200,000 to $300,000 USD annually. Visa sponsorship is not available. Location On-site in Palo Alto, California, with four days a week in the office.

Publicada el 9 nov 2026