Applied Researcher (Staff+)

Lightfield; San Francisco (CA); Hybride; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Meaningful early equity

Health insurance (medical, dental, and

3 weeks of PTO

11 paid company holidays + winterbreak

3 months paid family leave

Wednesdays work from home

Regular team dinners and retreats

401k plan

Commuter and lunch stipend

Résumé du poste

Lightfield is hiring an experienced researcher to build a Business World Model through frontier research in simulation, world modeling and self-improvement. You will own projects from conception to measurable impact, shaping the lab's agenda and reputation as it grows.

You will lead evaluations, build benchmarks, and publish open benchmarks and papers while mentoring teammates. Join a team applying ML/NLP to real-world business challenges in SF.

Qualifications

• 7+ years of applied research experience in ML or NLP, in industry or academia.
• PhD or MS in Computer Science, Machine Learning or related field, or equivalent research experience.
• Track record of research that shipped or was published: papers, open-source models, datasets or benchmarks.
• Deep hands-on experience with LLMs, evaluation, agent design and retrieval. Post-training experience is a plus.
• Rigorous about experimental design and able to distinguish real improvements from noise.
• Strong Python and production-code comfort (TypeScript, Node.js, PostgreSQL) alongside engineers.
• Ability to drive ambiguous problems independently with visible results.
• Clear written and oral communication to technical and non-technical audiences.

Responsabilités

• 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.
• Build benchmarks for GTM tasks such as list building, CSV imports, mail intelligence, record updates and outbound.
• Create simulated companies with users and knowledge streams to evaluate the end-to-end system.
• Develop techniques for improvement at world, company and user levels, including RL and fine-tuning.
• Model deal probability and ship 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; present at conferences.
• Help build a world-class research team by recruiting and mentoring teammates.

Connaissances

ML research

NLP

LLMs eval

Agent design

Retrieval

Experiment design

Python

TypeScript

Node.js

PostgreSQL

Formation

MS in CS/ML

PhD preferred

Outils

Python

TypeScript

Node.js

PostgreSQL

Description du poste

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