Join a high-caliber team building the missing semantic layer for autonomous agents. Working directly with the Chief Scientist (ex-LinkedIn), you will extract knowledge from fragmented enterprise data and build AI Data Graphs. This role is critical for eliminating AI hallucinations and enabling Fortune 500 companies to deploy reasoning agents at scale using proprietary domain intelligence.
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San Mateo, USANot Disclosed
Featured roleSan Mateo, USANot Disclosed
Senior Applied MLE at zaimler.ai — Series A context infrastructure for enterprise AI
95% of enterprise AI pilots fail because models lack business context. Join zaimler.ai, a Series A startup founded by the architects behind Visa and LinkedIn's AI systems, to build the semantic infrastructure that solves this. As a Senior Applied MLE, you’ll work directly with a world-class team to extract knowledge from fragmented data and build the AI Data Graphs that power the next decade of autonomous agents. If you want to ship production-ready ML to Fortune 500 customers and define a new category of AI infrastructure, this is your chance.
Overview
Why this role stands out
Company
Technology
zaimler.ai - Series A context infrastructure for enterprise AI
Responsibilities
What you will do
- Design and deploy state-of-the-art models to extract structured knowledge and relationships from heterogeneous enterprise data sources.
- Fine-tune Large Language Models (LLMs) and Small Language Models (SLMs) with domain-specific context to power real-time inference.
- Collaborate with data infrastructure engineers to architect a scalable platform that supports complex AI Data Graphs and semantic search.
Candidate profile
Who this is a fit for
- Holds an MS or PhD in Computer Science or ML with 4+ years of hands-on experience in NLP, knowledge extraction, or retrieval.
- Proven track record of deploying and maintaining ML models in production environments, specifically using tools like spaCy, GLiNER, or vLLM.
- Thrives in a fast-paced startup environment and possesses strong data manipulation skills using Python, NumPy, and Pandas.
What makes it remarkable
Why this role is remarkable
- Work under a founding team of industry veterans, including the former Chief Architect of Visa and the creator of LinkedIn’s massive Skills Graph.
- Solve the "hallucination problem" by building context infrastructure that acts as a machine-optimized employee manual for the world's largest enterprises.
- Join a fast-moving Series A startup already deploying with Fortune 500 leaders in insurance and travel, offering significant equity and technical ownership.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
About Jack & Jill
Meet Jack
Jack gets to know what you are great at, what you want next, and makes sure Jill considers you for the right opportunities.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
Jack