Research Scientist (Staff+)

Lightfield; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health insurance

PTO

Holidays

Family leave

Remote Wednesdays

Team events

401k

Stipends

Job summary

Lightfield is recruiting applied researchers and research scientists to lead projects for building a Business World Model. You will own research from initial questions to measurable product impact and publications, shaping the lab's agenda, culture, and reputation as it grows.

You will report to the co-founder and Chief AI Officer and collaborate with AI engineers and GTM experts to translate research into production and business value.

Qualifications

• 7+ years of applied ML/NLP research in industry or academia.
• PhD or MS in CS/ML or related field, or equivalent research experience.
• Track record of research that shipped or was published: papers, models, datasets or benchmarks.
• Hands-on experience with LLMs (evaluation, agent design, retrieval); SFT/RL experience is a plus.
• Rigorous experimental design and ability to distinguish real improvement from noise.
• Strong Python and production codebase experience (TypeScript, Node.js, PostgreSQL).

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 production and offline data.
• Build benchmarks for core GTM tasks such as list building, CSV imports, mail intelligence, record updates and outbound; compare to frontier models.
• Create simulated companies with users and streams of email, meetings and knowledge to evaluate the full system end-to-end.
• Develop techniques to improve as the system operates at world, company and user levels (reinforcement learning, fine-tuning).
• Model deal probability and the factors behind it, shipping them as product features.
• Improve cost and quality trade-offs across the AI system, including inference cost.
• Publish research blogs, open benchmarks, arXiv reports and papers; present at conferences.
• Help build a world-class research team by recruiting and mentoring teammates.

Skills

Python

Experimental design

Independent problem solving

Clear communication

Education

PhD or MS in Computer Science, ML or related field

Tools

TypeScript

Node.js

PostgreSQL

Job 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.

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