Machine Learning Engineer, GenAI Platform

SupportFinity™; San Francisco (CA); On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Competitive salary

Early equity

Health insurance

PTO 3 weeks

Holidays + winter break

Family leave

WFH Wednesdays

Team events

401k plan

Commuter stipend

Job summary

Lightfield is seeking a Machine Learning Engineer for its GenAI Platform to advance ML infrastructure and scale AI products across teams. You will help build scalable, user-friendly ML platforms and collaborate closely with internal partners on best practices in AI-driven software engineering.

You will recruit and mentor teammates while tackling open-ended technical challenges in AI, automation, and LLM-driven workflows in a fast-evolving environment.

Qualifications

• BS or MS in CS, Engineering, AI or related field.
• 6+ years of software engineering with a focus on ML infrastructure.
• Strong understanding of deep learning AI/ML frameworks and cloud services.
• Experience integrating software engineering with large language models.
• Ability to tackle open-ended AI-driven engineering challenges.
• Excellent collaboration with internal teams and external partners.

Responsibilities

• Lead development of ML product development infrastructure, focusing on scaling and innovating in collaboration and prompting for LLMs.
• Create and maintain a platform used by multiple teams for ML products, ensuring scalability and usability.
• Collaborate with internal teams to integrate ML solutions and define AI software engineering best practices.
• Help build a world-class AI/ML engineering team through recruiting and mentoring.
• Address open-ended technological challenges in AI-driven systems at scale.

Skills

ML infrastructure

Deep learning frameworks

Cloud services

LLMs integration

Collaboration

Education

BS/MS in CS/Engineering/AI

Tools

LangChain

Llama

Pinecone

Job description

Machine Learning Engineer, GenAI Platform

Lightfield |

Full-time

Unknown

About Lightfield

Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.

We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.

We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before Lightfield, our team worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, 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.

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.

What You’ll Do

• 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)

Benefits & Perks

• Competitive salary


• Meaningful early equity


• Health insurance (medical, dental, vision)


• 3 weeks of PTO


• 11 paid company holidays + we enjoy a winter holiday break


• 3 months of paid family leave


• Wednesdays work from home


• Regular team dinners, events, offsites, and retreats


• 401k plan


• Other perks include: commuter and lunch stipend

Compensation Range: $180K - $270K

About the company

Lightfield