You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Lightfield

Research Scientist (Staff+)

  • Office
  • 6+ years

Salary

$220,000 - 300,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

About Lightfield

Lightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, we’re building a living understanding of how a company works—so AI can help teams anticipate what comes next, make better decisions, and take action.

More than 5,000 companies have used the product since its November launch. We’ve raised more than $70M from Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock to attack the biggest software category in the world. We previously built Tome, which reached more than 25 million users, and our team brings experience from Llama, Instagram, Google, and Salesforce.

About the role

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.

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.

Requirements

  • You have 7+ years of applied research experience in ML or NLP, 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: papers, open-source models, datasets or benchmarks.
  • You have deep hands-on experience with LLMs, including evaluation, agent design and retrieval. Post-training experience (SFT, RL, preference optimization) is a plus.
  • 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 (TypeScript, Node.js, 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.
  • You are energized by building AI that businesses depend on to do their jobs.
  • Experience building simulations, synthetic data or RL environments.
  • Experience with forecasting or predictive modeling on business data.
  • Experience creating benchmarks adopted by others.

Benefits

  • Competitive salary
  • Meaningful early equity
  • Health insurance (medical, dental, vision)
  • 3 weeks of PTO
  • 11 paid company holidays + we enjoy a winter holiday break
  • 3 months of paid family leave
  • Wednesdays work from home
  • Regular team dinners, events, offsites, and retreats
  • 401k plan
  • Other perks include: commuter and lunch stipend

Where you’d work

From the office

The office

About the company

Lightfield

Office in San Francisco, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • PostgreSQL
  • LLMs
  • NLP
Seniority
Staff
Type
Full-time
Equity
Equity offered
Specialty
Data Science
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Staff
Experience
7+ years
Tech stack
  • Python
  • PostgreSQL
  • LLMs
  • NLP

Location

Work model
Office
Region
United States
Office
  • San Francisco, United States

Compensation

Salary
$220,000 - 300,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason