Staff Applied Machine Learning Engineer at zaimler

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Job Title

Staff Applied Machine Learning Engineer

Salary

Not Disclosed

Company Description

zaimler.ai is a Series A startup building the context infrastructure layer for the agentic era. Founded by industry veterans from Visa and LinkedIn, the company provides the semantic understanding needed for AI agents to operate at scale, currently deploying with Fortune 500 leaders across the insurance, travel, and technology sectors.

Job Description

Join zaimler.ai as a Staff Applied MLE to bridge the gap between research and production. You will work directly with the Chief Scientist to extract knowledge from heterogeneous enterprise data and build semantic graphs for real-time inference. This role is pivotal in developing the proprietary domain intelligence that prevents enterprise AI failure.

Location

San Mateo, USA

Why this role is remarkable

• Build the missing infrastructure layer between fragmented data and AI agents, solving the "context gap" that causes most enterprise AI pilots to fail.
• Work alongside elite leadership, including a CEO who was Chief Architect at Visa and a Chief Scientist who built LinkedIn’s massive production knowledge graph.
• Impact Fortune 500 customers from day one, shipping high-stakes models that enable autonomous agents to reason over complex, proprietary enterprise data with precision.

What You Will Do

• Develop and adapt models for sophisticated knowledge extraction from diverse enterprise data sources to construct and improve high-scale AI Data Graphs.
• Fine-tune large and small language models with domain-specific context to ensure performance and reliability in complex, multi-step enterprise agentic workflows.
• Partner with infrastructure teams to build and evolve training pipelines, evaluation frameworks, and feature stores that support real-time inference and scale.

The ideal candidate

• Holds a PhD or Master’s in Computer Science or ML with 4-10 years of experience deploying NLP or LLM models in production environments.
• Possesses deep technical expertise in at least one core area: knowledge extraction, semantic graph systems, embedding-based retrieval, or LLM fine-tuning and optimization.
• Thrives in high-autonomy startup environments and has a proven track record of building and owning end-to-end AI/ML infrastructure rather than just contributing components.

Who are Jack & Jill?

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.

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.

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.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.