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Machine Learning Engineer

salary Salary :

$180,000 - 270,000 yearly

icon building Company : Lightfield
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Machine Learning Engineer

About Lightfield

Lightfield is a new kind of CRM.

It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.

It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.

Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.

Lightfield.app

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 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

Who you are

  • You have a BS or MS degree in CS, AI, or applied math

  • You have 5+ years of experience building AI/ML based products in NLP domains

  • You have a strong understanding of deep learning AI/ML frameworks or cloud services

  • You have hands-on ML Ops experience

Bonus Points

  • Experience leading AI/ML product initiatives

  • Publications in applied AI/ML scientific journals

  • Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)

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