Staff Machine Learning Engineer
Posted Updated
Summary
Staff Machine Learning Engineer at Tome (Lightfield team) in San Francisco, building the domain-specific AI at the core of a product for sales teams — AI meant to outperform generic LLMs. Day to day: prototype LLM-powered experiences, shape AI/ML strategy with founders, and handle ML Ops with tools like LangChain, Llama, and Pinecone.
- 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
- 3 weeks of PTO
- Health insurance (medical, dental, vision)
- 11 paid company holidays + we enjoy a winter holiday break
- 3 months of paid family leave
- Regular team dinners, events, offsites, and retreats
- Wednesdays work from home
- 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
