Staff Machine Learning Engineer
Lightfield is building a world model of a business using AI, and the Staff Machine Learning Engineer will lead the development of core ML components that power real-time insights from emails, meetings, and customer conversations. The role involves designing scalable pipelines, collaborating with product and engineering teams, and driving innovation in NLP and deep learning to deliver predictive capabilities for CRM.
Skills required
About this role
About Lightfield
Lightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, we’re building a living understanding of how a company works—so AI can help teams anticipate what comes next, make better decisions, and take action.
More than 5,000 companies have used the product since its November launch. We’ve raised more than $70M from Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock to attack the biggest software category in the world. We previously built Tome, which reached more than 25 million users, and our team brings experience from Llama, Instagram, 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 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
Who you are
You have a BS or MS degree in CS, AI, or applied math
You have 7+ 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
Bonus Points
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)
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
