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Machine Learning Engineer, Applied Research and Model Development

Machine Learning Engineer, Applied Research and Model Development

LIGHTFIELD INCSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Machine Learning Engineer, Applied Research and Model Development

Get AI-powered advice on this job and more exclusive features.

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.

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)
  • 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

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