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.