We’re starting Lightfield Research to build a Business World Model through frontier research in simulation, world modeling and self-improvement. We’re hiring applied researchers and research scientists to lead its first projects.

You’ll report directly to Ves Stoyanov, co-founder and Chief AI Officer, previously at Facebook AI, where he co-authored RoBERTa and XLM-R. You’ll work alongside AI engineers who take research into production and GTM experts who help define tasks and quality.

Researchers at Lightfield own projects from the first question through measurable product impact and publication. You’ll help shape the lab’s research agenda, culture and reputation as it grows.

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.

Staff Research Scientist

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Lightfield

More roles at Lightfield