Machine Learning Engineer, GenAI Platform

Lightfield; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

An innovative company is seeking a talented software engineer to lead the development of machine learning infrastructure. This role focuses on creating a robust platform that supports multiple teams in building cutting-edge AI products. You will collaborate with internal teams, mentor new talent, and tackle complex technological challenges in a fast-paced environment. Join a forward-thinking organization that is redefining customer relationship management through advanced AI solutions. If you are passionate about AI and eager to make an impact, this opportunity is perfect for you.

Qualifications

• 6+ years of experience in software engineering focused on ML infrastructure.
• Strong understanding of deep learning frameworks and cloud services.

Responsibilities

• Lead development of ML product infrastructure focusing on collaboration and versioning.
• Create a scalable platform for ML products used by multiple teams.

Skills

Software Engineering

Machine Learning Infrastructure

Deep Learning Frameworks

Collaboration Skills

Problem-Solving

Education

BS or MS in Computer Science

Degree in Engineering or AI

Tools

LangChain

Llama

Pinecone

Job description

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 SpaceX.

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.

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

• 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)