Machine Learning Engineer, Applied Research and Model Development
New Yesterday
About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and SpaceX.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 LLMsWe'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 can't live withoutCraft Lightfield AI / ML strategy in tight collaboration with founders and execsPioneer the training of new models that leverage both historical data and synthetic training dataPrototype innovative, LLM-powered experiences, and drive their development into robust product featuresHelp build a world class AI / ML engineering team by recruiting and mentoring teammatesWho you areYou have 5+ years of industry experience in NLP, with a strong portfolio of model trainingYou have a strong understanding of deep learning AI / ML frameworks or cloud servicesYou have hands-on ML Ops experienceYou possess deep expertise in NLP and model training, specifically with LLMsProven experience adapting open-source generative models for specific use cases, demonstrating a deep understanding of its architecture and capabilitiesBonus PointsProven track record of leading successful AI / ML research projects in a product environmentPublications in applied AI / ML scientific journalsExperience navigating open source / vendor solutions in LLM ops space (Langchain, Llama, Pinecone, etc)J-18808-Ljbffr
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- Location:
- San Francisco, CA, United States