SECTION I · THE BRIEF
Brief #93101Updated 14 OCT 2026HQ: SAN FRANCISCOAshby
Employbl Company Profile

Staff Machine Learning Engineer

AI-native CRM built as a business world model for companies that run on agents; founded by the team behind Tome.

Location
HQ: San Francisco
Company size
—
Posted
Today
Via
Ashby
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  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
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Staff Machine Learning Engineer

Lightfield· HQ: San FranciscoView company profile


Job title
Staff Machine Learning Engineer
Job location
HQ: San Francisco
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

Lightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.

Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs.

We’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.

 

What you'll do

  • Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use

  • Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs

  • Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions

  • Prototype innovative, LLM-powered experiences, and drive their development into robust product features

  • Help build a world class AI/ML engineering team by recruiting and mentoring teammates

 

Who you are

  • You have a BS or MS degree in CS, AI, or applied math

  • You have 7+ years of experience building AI/ML based products in NLP domains

  • You have a strong understanding of deep learning AI/ML frameworks or cloud services

  • You have hands-on ML Ops experience

 

Bonus Points

  • Experience leading AI/ML product initiatives

  • Publications in applied AI/ML scientific journals

  • Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)

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

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