Research Engineer in Researcher Productivity - Remote

Overview

As a Research Engineer in Researcher Productivity, you will design and build critical infrastructure that enables and accelerates foundational research into how our AI systems impact people and society.

In Short

• Design and implement scalable technical infrastructure for AI research.
• Architect systems to handle uncertain and changing requirements.
• Lead technical design discussions for infrastructure support.
• Interface with and improve internal technical infrastructure.
• Support researchers by answering questions and building tooling.
• 5+ years of relevant industry engineering or research experience.
• Experience with production-grade internal tools or research infrastructure.
• Proficient in writing clean, well-documented Python code.
• Experience with distributed systems and designing for scale.
• Enjoy accelerating research through direct support.

Requirements

• 5+ years of relevant industry engineering or research experience.
• Experience building and maintaining production-grade internal tools.
• Proficient in Python and writing clean, well-documented code.
• Comfortable making technical decisions with incomplete information.
• Experience with distributed systems and designing for scale.
• Track record of using technical infrastructure with machine learning models.
• Experience deriving insights from imperfect data streams.
• Enjoy supporting researchers directly.

Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative office space in San Francisco.