Staff Machine Learning Engineer

Lightfield
HQ: San Francisco, US
On-site

Who this role is best for

A natural match if you have experience building domain-specific AI in NLP and leading product initiatives.

Best fit for

  • Candidates with 7+ years in NLP and experience leading AI product initiatives
    — “7+ years of experience building AI/ML based products in NLP domains”
  • Individuals with strong ML ops experience and knowledge of LLM frameworks
    — “strong understanding of deep learning AI/ML frameworks or cloud services”

Things to consider

  • The role involves a hybrid arrangement with in-office days on non-Wednesdays
    — “Wednesdays work from home”
  • The position requires a high level of collaboration with product and executive teams
    — “Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs”

How to stand out

  • Highlight domain-specific AI experience and successful product launches in your resume
    — “building a powerful, domain-specific AI that outperforms generic LLMs”
  • Emphasize your leadership in AI/ML initiatives and team-building skills
    — “Help build a world class AI/ML engineering team by recruiting and mentoring teammates”
  • Showcase your ability to prototype and deliver AI features from concept to product
    — “Prototype innovative, LLM-powered experiences, and drive their development into robust product features”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed and shipped AI/ML products
  • mentored team members
  • led AI/ML initiatives
Typical background
MS in CS, AI, or applied math7+ years of experience in NLP domains

Skills & requirements

Required

Deep LearningNatural Language ProcessingMachine Learning FrameworksMl OpsProduct Development

Preferred

LeadershipProduct ManagementTechnical WritingOpen Source Solutions

Stack & domain

PythonReactLeadershipCommunicationAWSCFAFinanceHealthcare

About the role

Original posting from Lightfield via Ashby

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

Source: Lightfield careers (Ashby)

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