Six Figure Work

Research Scientist (Staff+)

Lightfield

Company websitelightfield.app (Lightfield, opens in new tab)

Base salary $220K  to $300K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

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.

What you’ll do

  • 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.

Who you are

  • 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.

Nice to have

  • Experience building simulations, synthetic data or RL environments.

  • Experience with forecasting or predictive modeling on business data.

  • Experience creating benchmarks adopted by others.

Benefits & Perks

  • 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

Source: Lightfield on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($220,000) is above 69% of the 1,503 Data & ML roles in California listed on this site; 30 others list the same floor. Their median floor is $187,000; the middle half runs from $158,941 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Lightfield roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Lightfield roles with the nearest advertised base floor
RolePublished base
Research Scientist (Staff+) (this listing)$220K - $300K
Applied Researcher (Staff+)$220K - $300K
Software Engineer, Full Stack (Staff+)$220K - $300K
Software Engineer, Applied AI (Staff+)$220K - $300K
Software Engineer, Product (Staff+)$220K - $300K
Software Engineer, Agentic Pipeline Generation (Staff+)$220K - $300K
Software Engineer, Infrastructure (Staff+)$220K - $300K

Same $100K to $400K scale as every card. All Lightfield roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
  3. fields changed
  4. fields changed
Observed since
Employer-stated posting date
2026-10-21
Where this pay comes from

Location as the employer wrote it: HQ: San Francisco

USD 220,000 – 300,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.