Member of Technical Staff, Data Scientist / Statistician

Palo Alto, CA

We're hiring a Member of Technical Staff, Data Scientist / Statistician to build the measurement backbone of a new enterprise AI product. If you’re experienced in experimentation, applied statistics, and ML evaluation—and want your work to directly influence model and product quality—this role offers a unique opportunity.

We’re a product-driven team focused on building practical, trustworthy AI for enterprise use. Our work starts with powerful large language models, but it doesn't end there—we care just as much about reliability, interpretability, and impact. The environment is fast-moving and collaborative, with a strong appreciation for rigor, detail, and good tooling. As we grow, we’re investing deeply in research-informed practices to guide how we measure and improve everything we build.

As a Member of Technical Staff, Data Scientist / Statistician, you’ll lead efforts around metrics design, evaluation frameworks, and experimental pipelines. You’ll shape how we define success, how we measure safety and alignment, and how we learn from real-world usage. The work is both strategic and hands-on—you’ll write code, build tools, and communicate insights clearly across teams.

What we can offer you:

• Competitive salary and meaningful equity
• Flexible paid time off and parental leave
• Access to powerful compute resources and frontier models
• Small team with ownership and visibility
• Support for visa needs for international candidates

Key responsibilities:

• Design and analyze experiments (A/B tests, sequential tests, multivariate studies)
• Define success metrics for model behavior, safety, and user value
• Build internal tools and dashboards for monitoring model and product performance
• Collaborate with ML researchers on evaluating fine-tuning and alignment strategies
• Apply statistical rigor to model evaluation and feature launches
• Contribute to building measurement infrastructure from scratch

Relevant keywords: data science, experimentation, applied statistics, Member of Technical Staff, A/B testing, ML evaluation, Python