Über
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 Lead the development of ML product development infrastructure, focusing on scaling and innovating in areas of collaboration and versioning, particularly in the context of LLM model training and prompting Create and maintain a platform that will be used by multiple teams working on ML products, ensuring its scalability, efficiency, and user-friendliness. Collaborate closely with internal teams to integrate ML solutions and define best practices for software engineering in an AI-driven development landscape. Help build a world-class AI/ML engineering team by recruiting and mentoring teammates Address and solve open-ended technological challenges in software engineering at scale, especially in the context of AI-driven systems. Who You Are
You have a BS or MS degree in CS, Engineering, AI or a related field. 6+ years experience in software engineering with a focus on ML infrastructure. You have a strong understanding of deep learning AI/ML frameworks or cloud services Experience with the integration of software engineering with large language models. Ability to navigate and solve open-ended technological challenges in a fast-evolving AI landscape. Excellent collaboration skills, with the ability to work effectively with both internal teams and external partners. Strong problem-solving skills and the ability to handle complex, cross-functional projects. Bonus Points
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
Sprachkenntnisse
- English
Hinweis für Nutzer
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