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Staff Machine Learning Engineer

Join Lightfield as a Staff Machine Learning Engineer to create innovative AI experiences for sales teams.

Location
San Francisco, United States
Compensation
Not disclosed
Level
staff
Type
full time · Hybrid

Posted by employer 3 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Apply at Lightfield → Save job Scanned from lightfield.app

What you'll build

  • Create and ship AI experiences
  • Craft AI/ML strategy
  • Identify user needs for AI/ML solutions
  • Prototype LLM-powered experiences
  • Help build AI/ML engineering team

Must have

  • BS or MS degree in CS, AI, or applied math
  • 7+ years of experience building AI/ML products
  • Strong understanding of deep learning frameworks
  • Hands-on ML Ops experience

Nice to have

  • Experience leading AI/ML product initiatives
  • Publications in applied AI/ML journals
  • Experience with open source/vendor solutions in LLM ops

AI in the day-to-day

Building a powerful, domain-specific AI that outperforms generic LLMs.

Requirements

Experience
7+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match PTO Equity/Stock Options Remote Work Paid Family Leave Health Insurance

Joblaze summary

In this role, the Staff Machine Learning Engineer at Lightfield focuses on developing innovative AI applications tailored for sales teams, ensuring these solutions are both effective and engaging. The position requires expertise in AI/ML frameworks, deep learning, and hands-on ML Ops experience, alongside a strong background in NLP product development. Ideal candidates will have over seven years of relevant experience and a solid educational foundation in computer science or related fields. Lightfield's AI/ML team is positioned at the forefront of creating impactful tools that enhance business operations.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 15, 2026. Last confirmed on Lightfield's careers page October 15, 2026.
  • This exact title is also open at 1 other location at Lightfield: HQ: San Francisco.
  • AI/ML appears in 34.2% of 275 comparable staff ai/ml roles in United States; NLP appears in 2.9% of 275 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Machine Learning Engineer role remote?
It's hybrid — Lightfield expects some on-site time in San Francisco, United States.
How much experience is required?
At least 7 years of relevant experience for this Staff Machine Learning Engineer role.
Where is the role based?
Lightfield is hiring for this position in San Francisco, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Deep Learning, ML Ops, NLP.
What seniority level is this role?
Lightfield targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Machine Learning Engineer role at Lightfield.

From the original posting

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 7+ 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)

Benefits & Perks

  • Competitive salary

  • Meaningful early equity

  • Health insurance (medical, dental, vision)

  • 3 weeks of PTO

  • 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

Standard company text repeated across Lightfield's postings is omitted here.

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