Machine Learning Engineer (Staff)

Job details

Work model

On-site

Salary

Not listed by source

Location

HQ: San Francisco

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How this role compares at Lightfield

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Job description

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