Machine Learning Engineer, Applied Research and Model Development
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 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.
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 can’t live without
Craft Lightfield AI/ML strategy in tight collaboration with founders and execs
Pioneer the training of new models that leverage both historical data and synthetic training data
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 5+ years of industry experience in NLP, with a strong portfolio of model training
You have a strong understanding of deep learning AI/ML frameworks or cloud services
You have hands-on ML Ops experience
You possess deep expertise in NLP and model training, specifically with LLMs
Proven experience adapting open-source generative models for specific use cases, demonstrating a deep understanding of its architecture and capabilities
Bonus Points
Proven track record of leading successful AI/ML research projects in a product environment
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