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Staff Machine Learning Engineer

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Onsite

Staff Machine Learning Engineer

Tome

Staff Machine Learning Engineer

Skills

Deep LearningMachine LearningAINLP / Natural Language Processing

1 day ago

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Important information


Contract type:

Permanent

Salary:

$220,000 – $300,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

22 October 2026

What they need


  • 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
  • Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use
  • Craft Lightfield’s AI/ML strategy in tight collaboration with founders and execs
  • Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions
  • 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

Benefits

  • Meaningful early equity
  • 3 weeks of PTO
  • Health insurance (medical, dental, vision)
  • 11 paid company holidays + we enjoy a winter holiday break
  • 3 months of paid family leave
  • Regular team dinners, events, offsites, and retreats
  • Wednesdays work from home
  • 401k plan
  • Other perks include: commuter and lunch stipend- You have 7+ years of experience building AI/ML based products in NLP domains
  • You have a BS or MS degree in CS, AI, or applied math
  • You have a strong understanding of deep learning AI/ML frameworks or cloud services
  • You have hands-on ML Ops experience
  • Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)
  • Publications in applied AI/ML scientific journals
  • Experience leading AI/ML product initiatives

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