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Machine Learning Engineer (Staff) @ Lightfield

USOnsiteFull-time
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About this role

About LightfieldLightfield 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 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 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 areYou 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 PointsExperience 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 & PerksCompetitive 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

Skills

EngineeringMachine Learning

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