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Lightfield

Builds self-updating CRM for people and AI agents

Applied Researcher - Staff+

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • You have 7+ years of applied research experience in machine learning or natural language processing, in industry or academia.
  • You have a PhD or MS in Computer Science, Machine Learning or a related field, or equivalent research experience.
  • You have a track record of research that shipped or was published, such as papers, open-source models, datasets or benchmarks.
  • You have deep hands-on experience with large language models, including evaluation, agent design and retrieval.
  • You are rigorous about experimental design and can tell a real improvement from noise.
  • You write strong Python and are comfortable working in a production codebase with TypeScript, Node.js and PostgreSQL alongside engineers.
  • You can drive an ambiguous problem independently and balance ambitious goals with frequent, visible results.
  • You communicate clearly to technical and non-technical audiences, in writing and in talks.

Responsibilities

  • Lead research projects in evaluation, benchmarks, deal prediction, simulation and self-improvement.
  • Design empirical evaluations of the AI system using LLM-as-judge, rubric-based grading, offline replay and A/B tests on production and offline data.
  • Build benchmarks for core go-to-market tasks such as list building, CSV imports, mail intelligence, record updates and outbound; measure the product against frontier models and competitors.
  • Build simulated companies with users and streams of email, meetings and knowledge where the right answers are known, and use them to evaluate the full system end to end.
  • Develop techniques that let the product improve as it operates at the world, company and user levels, including reinforcement learning and, where useful, fine-tuning.
  • Model deal probability and its contributing factors, 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 the research team by recruiting and mentoring teammates.

Desired Qualifications

  • Post-training experience such as supervised fine-tuning, reinforcement learning or preference optimization.
  • Experience building simulations, synthetic data or reinforcement-learning environments.
  • Experience with forecasting or predictive modeling on business data.
  • Experience creating benchmarks adopted by others.

About the Company

Lightfield

Builds self-updating CRM for people and AI agents

Lightfield builds customer relationship software for founders and sales teams, using conversations to keep a shared record of their customers and deals. Its AI agents use that record to research prospects, prepare for meetings, follow up with buyers, and inspect opportunities that need attention. Email, calendar, calls, and Slack feed structured accounts and contacts, while teams query the record in plain language and connect other software through its API. Customers pay subscriptions for capture seats and workspace access, with credits covering agent work and advanced enrichment. The CRM launched in 2025 and is based in San Francisco; its legal operator is Magical Tome, Inc.

Company size
11-50
Company stage
Series A
Total funding
$47M
Headquarters
San Francisco, CA
Founded
2025

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