Machine Learning Engineer (Staff)
Join Lightfield as a Staff Machine Learning Engineer to create innovative AI experiences for sales teams.
Posted by employer 1 year ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Lightfield's AI/ML team builds experiences at the core of our product, developing new applications to wow our customers.
Requirements
- Experience
- 7+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Machine Learning Engineer at Lightfield focuses on developing innovative AI experiences tailored for sales teams, ensuring that the product stands out in a competitive market. The position requires expertise in AI/ML frameworks, deep learning, and hands-on ML Ops experience, with a strong emphasis on natural language processing. Ideal candidates will have over seven years of experience in building AI-driven products and a background in leading initiatives in this space. Lightfield's fast-paced environment, backed by notable investors, offers a unique opportunity to shape the future of CRM technology.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Lightfield's career page.
- Lightfield has 21 other open roles including Strategic Finance & Operations, Founding Recruiter, GTM, Head of Content.
- 5148 active AI/ML roles on Joblaze right now.
- 64 active NLP roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends
Quick facts
- Is the Machine Learning Engineer (Staff) role remote?
- It's hybrid — Lightfield expects some on-site time in HQ: San Francisco.
- How much experience is required?
- At least 7 years of relevant experience for this Machine Learning Engineer (Staff) role.
- Where is the role based?
- Lightfield is hiring for this position in HQ: San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, 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 Machine Learning Engineer (Staff) role at Lightfield.
From the original posting
About Lightfield
Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.
We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.
The market agrees. Over 5,000 companies have used Lightfield since we launched in November, making us the fastest-adopted product in our category. We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before Lightfield, our team worked on Llama, Instagram, Facebook Messenger, Pinterest, 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