aimlroles

Staff Machine Learning Engineer

Lightfield lightfield.app Open · verified Oct 22, 2026
On-site San Francisco Full-time Senior Machine Learning Engineering

At a glance

Senior Machine Learning Engineering role at Lightfield. San Francisco · full-time · $220,000–$300,000 base.

SalaryStated by Lightfield
$220,000 – $300,000
Base salary for this role, in USD per year, as published in the posting.
This role, from LightfieldOur estimate for the market: $208,750–$272,683Median $235,750
The range includes the market median of $235,750 for senior machine learning engineering roles in San Francisco.
Worked out from 51 postings that stated pay, median $235,750. Last updated Oct 22, 2026.
RoleMachine Learning Engineering
SenioritySenior
LocationSan Francisco
WorkplaceOn-site
EmploymentFull-time
Base pay$220,000–$300,000
PostedOct 13, 2026 · 9d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and launch distinctive AI features that sales teams want to use
  • Set AI/ML direction with the founders and executive team
  • Find customer problems suited to AI, define them, and shape solutions with product leaders
  • Turn LLM prototypes into dependable product capabilities
  • Recruit and coach engineers as the AI/ML team grows

What you bring

  • A bachelor's or master's degree in computer science, AI or applied math
  • At least seven years building AI/ML products in natural language processing
  • A solid grasp of deep-learning frameworks or cloud services
  • Practical experience with machine-learning operations

Who this fits

This senior role suits an experienced AI/ML engineer who wants to shape product strategy and help build a team. The job is based on-site in San Francisco.

From the employer

About Lightfield

Lightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, we’re building a living understanding of how a company works—so AI can help teams anticipate what comes next, make better decisions, and take action.

More than 5,000 companies have used the product since its November launch. We’ve raised more than $70M from Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock to attack the biggest software category in the world. We previously built Tome, which reached more than 25 million users, and our team brings experience from Llama, Instagram, Google, and Salesforce.

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

  • 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