Engineering Manager, Research Data Platform

Highlights

• Build platform components that research systems plug into to record data.
• Own core datasets end to end, including pipelines behind RL transcripts.
• Drive canonical, well-documented datasets researchers trust and standardize on.

What they offer

• Competitive compensation and benefits
• Equity donation matching
• Generous vacation and parental leave
• Flexible working hours

Ideal candidate

A pragmatic data platform builder who treats researchers as customers, leads through influence, and thrives in exploratory environments. Excited to learn ML research and make data trustworthy while caring about AI's societal impact.

Requirements

• Built and operated data-intensive systems at scale with strong data modeling instincts
• Set technical direction for a team or owned architecture of a data platform
• Treat internal users as customers and measure success by adoption
• Comfortable with exploratory research workflows and evolving requirements
• Lead through influence and align engineers and stakeholders
• Results-oriented and pragmatic, willing to do unglamorous high-leverage work
• Excited about learning ML research fundamentals
• Care about societal impacts of work
• Bachelor's degree or equivalent combination of education, training and experience