Lightfield

Machine Learning Engineer

HQ: San Francisco

Sponsorship not specifiedDetected 649 days ago

Machine LearningDeep LearningNLPLLMsLLMOpsMLOpsCRMCollaborationMentoring

About the role

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.

Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use
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
Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth.

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 hands-on ML Ops experience
Experience leading AI/ML product initiatives
Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)

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
Other perks include: commuter and lunch stipend
You have a strong understanding of deep learning AI/ML frameworks or cloud services

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

This listing is sourced directly from Lightfield's careers page and normalized into a canonical job model.