Machine Learning Engineer

About LightfieldLightfield 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 RoleLightfield'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 DoCreate and ship magical, highly-differentiated AI experiences that sales teams are eager to useCraft Lightfield's AI/ML strategy in tight collaboration with founders and execsIdentify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutionsPrototype innovative, LLM-powered experiences, and drive their development into robust product featuresHelp build a world class AI/ML engineering team by recruiting and mentoring teammatesWho You AreYou have a BS or MS degree in CS, AI, or applied mathYou have 5+ years of experience building AI/ML based products in NLP domainsYou have a strong understanding of deep learning AI/ML frameworks or cloud servicesYou have hands-on ML Ops experienceBonus PointsExperience leading AI/ML product initiativesPublications in applied AI/ML scientific journalsExperience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend