You will build the semantic layer essential for the next generation of autonomous enterprise agents. By extracting knowledge from fragmented data and constructing real-time AI Data Graphs, you’ll solve the context gap that causes 95% of AI pilots to fail, working directly with a world-class team of industry pioneers.
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Senior Applied MLE at zaimler
Enterprise AI is failing because agents lack business context. As a Senior Applied MLE in San Mateo, you’ll tackle the hardest problems in knowledge extraction and AI Data Graphs, shipping directly to Fortune 500 customers and defining an entirely new infrastructure category. If you have 4+ years of experience in NLP and LLM fine-tuning and want to build the context engine that powers the next decade of AI, this is the role for you.
About this role
Role overview
About the company
zaimler
Technology
AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.
zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.
zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're a small, senior team at the seed stage, deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of AI runs on, we'd love to talk.
What you'll do
What you will do
- Design and deploy state-of-the-art models to extract structured domain knowledge from heterogeneous and disconnected enterprise data sources.
- Develop, evaluate, and scale AI Data Graphs and semantic systems that provide the reasoning foundation for high-precision autonomous agents.
- Fine-tune large and small language models (LLMs/SLMs) with domain-specific context to ensure production-grade accuracy and reduced inference costs.
Who you are
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.
- Demonstrates a proven track record of shipping and maintaining ML models in production environments, specifically using BERT, LLMs, or embedding-based retrieval.
- Possesses a builder mindset with previous startup experience, thriving in fast-paced environments where they can influence core infrastructure from day one.
Why this role
Why this role is remarkable
- Work under a founding team featuring the former Chief Architect of Visa’s AI Platform and the architect of LinkedIn’s massive production Skills Graph.
- Solve the industry's most pressing bottleneck—enterprise domain intelligence—by building the infrastructure that sits between raw data lakes and autonomous agents.
- Join a high-growth Series A startup already deploying with Fortune 500 leaders across the insurance, travel, and technology sectors.
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.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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.