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Lightfield

Machine Learning Engineer (Staff+)

HQ: San Francisco (USA)
Salary
$220K - $300K
Level
Staff
Work type
On-site · HQ: San Francisco

Not stated in the posting: visa.

Open. First seen 13 October 2026.

Apply on the company's site →

About the role

About Lightfield

Lightfield's standard text

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

What this role asks for

Particular to this role

Deep Learning · LangChain · NLP · Vector Databases

Rare in Lightfield's other 11 open postings.

Standard for data science / ML roles

LLM · Machine Learning

Common in data science / ML postings at any company.

In most of Lightfield's ads

Salesforce

Named in most of its open postings, whatever the role.

88% of this description is written for the role. The rest is Lightfield's standard text, folded away below.

Compared with Lightfield's other open jobs.

The team: Engineering HIRES STEADILY

This role is one of 10 open in Engineering. 5 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Salesforce (10 of 10), PostgreSQL (8 of 10), JavaScript (7 of 10), LLM (7 of 10), Node.js (7 of 10), GraphQL (6 of 10), Next.js (6 of 10)

OTHER ROLES ON THIS TEAM

From the team and dates on Lightfield's own job board.

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