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Machine Learning Engineer (Staff)

Lightfield

San Francisco, CAHybridFull-time$180–270K/yrPosted 3y agoVerified open 3 days ago

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At a glance

Compensation
$180–270K/yr
Location
San Francisco, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Lightfield is hiring a Machine Learning Engineer (Staff). Lightfield, an AI‑native CRM, is rethinking customer relationship management by building a fast, intelligent platform that learns from email, calendar, and meetings. The company seeks a Machine Learning Engineer to create differentiated AI experiences, shape AI/ML strategy with founders, and help grow a world‑class engineering team.

Key focus areas include 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, and Identify user needs suited for AI/ML solutions, frame problems, and collaborate with product leaders on solutions.

Successful candidates bring BS Or MS Degree In CS, AI, Or Applied Math and 5+ Years Of Experience Building AI/ML Based Products In NLP Domains. Important skills include Deep Learning AI/ML Frameworks, Cloud Services, and MLOps. Preferred (not required): LangChain, Llama, Pinecone, and AI/ML Strategy.

Skills & qualifications

RequiredNice to have

Skills

Deep Learning AI/ML FrameworksCloud ServicesMLOpsLangChainLlamaPineconeAI/ML StrategyIdentify User NeedsFrame ProblemsCollaborate With Product LeadersPrototype LLM-Powered ExperiencesDrive DevelopmentRecruitingCoachingLeading AI/ML Product InitiativesPublications in Applied AI/ML Scientific Journals

Qualifications

BS or MS Degree in CS, AI, or Applied Math5+ Years of Experience Building AI/ML Based Products in NLP Domains

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match
Parental Leave

Full job description

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.

We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.

We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before Lightfield, our team worked on Llama, Instagram, Facebook Messenger, Pinterest, 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 5+ 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

You've read the whole posting — now see how you match it.