Machine Learning Engineer, Applied Research and Model Development

About Light field

Light field 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, Light field 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.

Light field'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 can’t live without
• Craft Light field 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

• 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

• 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)

• 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