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.

Conduct independent AI research focused on evaluation methodologies, alignment techniques, and synthetic data generation. Design rigorous experiments and scalable frameworks for evaluating LLMs and agent systems using human data. Build research infrastructure and practical tools, applying fine-tuning, optimization, quantization, adapters, and distillation. Publish research, contribute to open source, collaborate with engineering and product teams, mentor colleagues, and communicate complex AI concepts clearly.

Own net-new and expansion enterprise sales cycles with frontier AI labs across the West. Build relationships with AI research, product, and executive stakeholders; manage complex, multi-threaded technical sales processes; develop proposals, pilots, and success plans with cross-functional teams; forecast pipeline and communicate deal health; and relay customer feedback to product and marketing. The role requires extensive experience selling strategic B2B technology solutions, including seven- and eight-figure deals.