Staff Research Scientist
Core
Lead applied research projects to build a Business World Model using simulation, world modeling, and self-improvement techniques for CRM AI.
Role type
Staff Research Scientist (Applied AI/LLMs)
Builds
Simulated companies, evaluation benchmarks, deal prediction models, and self-improving AI systems
Domain
Artificial Intelligence, Large Language Models, Business Simulation
Deliverable
production ML models
Required skills
Applied research in ML/NLP, LLM evaluation and agent design, reinforcement learning, Python, experimental design, TypeScript, Node.js, PostgreSQL
Preferred skills
Post-training (SFT, RL, preference optimization), building simulations/synthetic data, forecasting on business data, creating adopted benchmarks
Technologies
LLMs, Python, TypeScript, Node.js, PostgreSQL, arXiv
Responsibilities
Lead research projects in evaluation, benchmarks, deal prediction, simulation, and self-improvement; Design empirical evaluations using LLM-as-judge and A/B tests; Build benchmarks for GTM tasks; Develop self-improvement techniques including RL; Model deal probability and ship as product features; Publish research papers and blog posts; Recruit and mentor research teammates
