Machine Learning Engineer, GenAI Platform

Machine Learning Engineer, GenAI Platform

Join to apply for the Machine Learning Engineer, GenAI Platform role at Lightfield

Base pay range

$180,000.00 / yr - $270,000.00 / yr

About Lightfield

Lightfield 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 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. Were inspired by the challenge of creating innovative new AI products for people doing serious work, and were looking to grow our AI / ML team to meet that challenge.

Key Responsibilities

• 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

Bonus Points

Benefits & Perks

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