Staff Applied Researcher
Core
Lead applied research projects to build a Business World Model using simulation, world modeling, and self-improvement techniques for AI-driven CRM.
Role type
Staff Applied Researcher (ML/NLP)
Builds
Simulated companies, evaluation benchmarks, and product features for deal prediction and system self-improvement.
Domain
AI Research, Machine Learning, CRM, Business Modeling
Deliverable
production ML models
Required skills
Applied research in ML/NLP, LLM evaluation and agent design, reinforcement learning, Python, TypeScript, PostgreSQL, experimental design, research publication
Preferred skills
Post-training (SFT, RL, preference optimization), simulation and synthetic data, forecasting on business data, benchmark creation
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 core GTM tasks; Develop techniques for system self-improvement; Model deal probability and ship as product features; Publish research papers and present at conferences; Recruit and mentor research team members
