Teams at Prolific

Build practical machine learning, statistical, and data science systems for Prolific’s participant marketplace. The role focuses on modeling participant supply, demand, and quality; improving matching to studies; validating useful signals; designing experiments and metrics; and deploying production-ready solutions. The scientist will independently shape ambiguous problems, select appropriate approaches ranging from classical statistics to LLMs, and collaborate with product, engineering, and Supply Data Science specialists.

Provides senior technical leadership for an engineering team by shaping technical direction, architecture, roadmaps, and engineering standards. Leads technical discovery and solution design, drives code quality, testing, reliability, and performance, and collaborates across teams. Mentors engineers, influences technical decisions, and connects engineering work to customer and business outcomes while contributing hands-on.

Lead Cloud Platform and SRE teams, guiding infrastructure strategy, Kubernetes operations, platform reliability, developer tooling, and technical growth. Own SLOs, SLAs, error budgets, observability, incident remediation, and secure cloud environments. Drive self-service infrastructure, GitOps, infrastructure-as-code, and platform adoption while balancing stability with developer velocity. Partner cross-functionally to communicate technical decisions and build scalable, resilient systems.