Staff Machine Learning Engineer

Tome

San Francisco (CA)

On-site

USD 210,000 - 290,000

Full time

4 days ago
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Benefits offered by this job

Equity
Health insurance
PTO 3 weeks
Holidays and break
Family leave
WFH Wednesdays
Team events
401k
Commuter stipend
Lunch stipend

Job summary

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.

Qualifications

  • 7+ years of AI/ML product experience in NLP domains.
  • BS or MS degree in CS, AI, or applied math.
  • Strong understanding of deep learning AI/ML frameworks or cloud services.
  • 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.

Responsibilities

  • 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

Skills

AI/ML product experience (NLP)
Hands-on ML Ops
Open source/LLM ops (LangChain, Llama,
AI/ML product leadership
Publications in AI/ML journals

Education

BS/MS in CS/AI/applied math

Tools

LangChain
Llama
Pinecone

Job description

  • 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
  • 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
  • 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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