About the job
Join the Lightfield Team
At Lightfield, we are revolutionizing the CRM landscape with our AI-native platform that seamlessly integrates your email, calendar, and meetings. Our innovative solution captures every interaction, transforming it into organized insights—accounts, tasks, follow-ups, and much more—ensuring nothing falls through the cracks.
We are committed to reimagining CRM from the ground up. Rather than imposing rigid systems, Lightfield adapts to the actual workflows of companies, automating processes and providing actionable insights that catalyze growth. We are creating the CRM solution we envisioned: fast, intelligent, and genuinely beneficial.
Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team is composed of veterans from Tome, a generative AI presentation tool used by over 25 million people, as well as industry giants like Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.
Your Role
As a pivotal member of Lightfield's AI/ML team, you will spearhead the development of experiences that sit at the heart of our product, crafting applications that truly impress our customers.
The current focus is on constructing a robust, domain-specific AI that excels beyond generic large language models (LLMs). We are excited by the challenge of innovating new AI products that empower professionals in their endeavors, and we are eager to expand our AI/ML team to meet this ambition.
Key Responsibilities
Lead the creation of machine learning product development infrastructure, emphasizing scalability and innovation in collaboration and versioning, particularly for LLM training and prompting.
Develop and sustain a platform utilized by various teams working on ML products, guaranteeing its scalability, efficiency, and user-friendliness.
Work closely with internal teams to integrate ML solutions and establish best practices for software engineering in an AI-focused development environment.
Contribute to building a top-tier AI/ML engineering team by recruiting and mentoring new talent.
Tackle and resolve complex technological challenges in software engineering at scale, particularly related to AI systems.
Who You Are
You possess a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.
You have over 6 years of experience in software engineering, with a specialization in ML infrastructure.
You demonstrate a robust understanding of deep learning frameworks and cloud services.

