About the job
About Lightfield
At Lightfield, we are pioneering the future of CRM with our AI-native platform that seamlessly integrates with your email, calendar, and meetings. Our innovative solution captures every interaction, transforming it into structured context, including accounts, tasks, follow-ups, and insights, ensuring that nothing is overlooked.
We are fundamentally reimagining CRM by employing a flexible approach that adapts to how teams operate, rather than imposing rigid systems. Lightfield continuously learns, automates processes, and surfaces valuable insights that fuel growth. We are dedicated to creating a CRM platform that is not only fast and intelligent but also genuinely helpful.
Our team is backed by prestigious investors like Greylock, Lightspeed, and Coatue, and has a rich history in building successful products, including Tome, a generative AI presentation tool utilized by over 25 million users. Our collective experience spans notable companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.
About the Role
Join our dynamic AI/ML team at Lightfield, where we are developing the core experiences of our product through cutting-edge applications that amaze our customers. We are currently focused on creating a robust, domain-specific AI that surpasses conventional LLMs.
We thrive on the challenge of crafting innovative AI solutions for professionals engaged in significant work, and we're eager to expand our AI/ML team to rise to this challenge.
Your Responsibilities
Design and deliver extraordinary AI experiences that empower sales teams.
Collaborate closely with founders and executives to shape Lightfield's AI/ML strategy.
Lead the training of new models utilizing both historical and synthetic training data.
Develop and prototype innovative LLM-driven experiences, transforming them into robust product features.
Contribute to building a top-tier AI/ML engineering team through recruitment and mentorship.
Your Profile
5+ years of industry experience in Natural Language Processing (NLP) with a strong portfolio of model training.
Solid understanding of deep learning AI/ML frameworks and cloud services.
Hands-on experience in ML Operations (ML Ops).
Deep expertise in NLP and model training, particularly with Large Language Models (LLMs).
Demonstrated ability to adapt open-source generative models for specific applications, with a comprehensive understanding of their architecture.

