Machine Learning Engineer

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 team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us 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.

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.

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

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

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)