Jobs · Engineering · California

Machine Learning Engineer, Applied Research and Model Development

Lightfield · San Francisco, CA · 8 mo ago
On-siteEngineeringFull-time

About the role

Lightfield is an AI-native CRM that learns from email, calendar, and meeting interactions to organize accounts, tasks, follow-ups, and insights. The team is inspired by the challenge of creating innovative AI products for serious work, and is looking to grow its AI/ML team.

Responsibilities

  • 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

Requirements

  • 5+ years of industry experience in NLP, with a strong portfolio of model training
  • A strong understanding of deep learning AI/ML frameworks or cloud services
  • Hands-on ML Ops experience
  • 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)

Qualifications

  • 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)

Skills

  • NLP
  • Deep learning AI/ML frameworks or cloud services
  • Hands-on ML Ops experience
  • Model training, specifically with LLMs
  • Adapting open-source generative models for specific use cases

Benefits

  • 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
  • 401k plan
  • Commuter and lunch stipend

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