Machine Learning Engineer, Applied Research and Model Development (San Francisco)

About Lightfield

Lightfield is a new kind of CRM.

It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.

It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.

Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.

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.

What you'll do

• Create and ship magical, highly-differentiated AI experiences that sales teams cant live without

• Craft Lightfield AI/ML strategy in tight collaboration with founders and execs

• Pioneer the training of new models that leverage both historical data and synthetic training data

• Prototype innovative, LLM-powered experiences, and drive their development into robust product features

• Help build a world class AI/ML engineering team by recruiting and mentoring teammates

Who you are

• You have 5+ years of industry experience in NLP, with a strong portfolio of model training

• You have a strong understanding of deep learning AI/ML frameworks or cloud services

• You have hands-on ML Ops experience

• You possess deep expertise in NLP and model training, specifically with LLMs

• Proven experience adapting open-source generative models for specific use cases, demonstrating a deep understanding of its architecture and capabilities

Bonus Points

• Proven track record of leading successful AI/ML research projects in a product environment

• Publications in applied AI/ML scientific journals

• Experience navigating open source/vendor solutions in LLM ops space (Langchain, Llama, Pinecone, etc)