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.

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.