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WisdomAI

Agentic data insights platform for enterprises

Machine Learning Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USA$200k - $350k /yrIn-person

About the Job

Requirements

  • Strong analytical skills and the ability to work on challenging natural language processing problems.
  • A Bachelor's or Master's degree in Computer Science or a related field.

Responsibilities

  • Build workflows and agentic pipelines for complex analytical workloads.
  • Design an evaluation framework and carry out evaluations of the query processing engine.
  • Work closely with customers and founders to define the product and engineering roadmap.
  • Shape the engineering culture and technology stack for the company.

Desired Qualifications

  • Background in search or retrieval, large language models, and evaluation pipelines is a plus.
  • Experience working in startup or fast-paced teams is highly desirable.

About the Company

WisdomAI

Agentic data insights platform for enterprises

WisdomAI provides an agentic data insights platform for enterprises. It lets professionals ask questions in plain English and get real-time, visual answers without needing dashboards or technical skills. The system analyzes data—turning unstructured sources like Google Cloud BigQuery into clear insights using AI-driven semantic modeling and metric extraction, creating a trusted intelligence layer over messy warehouse data. Unlike traditional BI tools that rely on dashboards, WisdomAI delivers natural language–driven analysis directly into workflows and applications. Its goal is to empower every employee, from sales to operations, to make faster, data-driven decisions by integrating AI-powered analytics as a service into their everyday work. The platform differentiates itself by focusing on agentic, organization-wide accessibility, real-time interpretation of data, and semantic modeling that cleans and harmonizes data across sources.

Company size
51-200
Company stage
Series A
Total funding
$73M
Headquarters
San Mateo, CA
Founded
2023

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