Lightfield
Machine Learning Engineer, Applied Research and Model Development
Lightfield, San Francisco, California, United States, 94199
Machine Learning Engineer, Applied Research and Model Development
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This range is provided by Lightfield. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $180,000.00/yr - $270,000.00/yr
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 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
Create and ship magical, highly-differentiated AI experiences that sales teams can’t 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)
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
Additional Compensation Compensation Range: $180K - $270K
Seniority Level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Location San Francisco, CA
#J-18808-Ljbffr
This range is provided by Lightfield. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $180,000.00/yr - $270,000.00/yr
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 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
Create and ship magical, highly-differentiated AI experiences that sales teams can’t 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)
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
Additional Compensation Compensation Range: $180K - $270K
Seniority Level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Location San Francisco, CA
#J-18808-Ljbffr