Staff Research Scientist

Lightfield is building a Business World Model through research in simulation, world modeling, and self-improvement. The Staff Research Scientist will lead research projects from initial questions through measurable product impact and publication, while helping shape the research agenda and team.

Responsibilities:

• Lead research projects in evaluation, benchmarks, deal prediction, simulation and self-improvement
• Design empirical evaluations of Lightfield’s AI system using LLM-as-judge, rubric-based grading, offline replay and A/B tests, on both production and offline data
• Build benchmarks for core GTM tasks such as list building, CSV imports, mail intelligence, record updates and outbound. Measure Lightfield against frontier models and competitors
• Build simulated companies with users and streams of email, meetings and knowledge, where the right answers are known. Use them to evaluate the full system end to end
• Develop techniques that let Lightfield improve as it operates, at the world, company and user levels. These include reinforcement learning and, where it pays off, fine-tuning
• Model deal probability and the factors behind it, and ship them as product features
• Improve cost and quality trade-offs across the AI system, including inference cost
• Publish research blog posts, open benchmarks, arXiv reports and papers, and present at conferences and meetups
• Help build a world-class research team by recruiting and mentoring teammates