Full Stack Engineer, Machine Learning Engineer, Chief Technology Officer

Remote • $200k - $300k

NspectAI


Role Location

  • Remote

Compensation

$200k - $300k

Employees

< 10 people

Tech Stack

  • TypeScript
  • Vue.js
  • Python
  • FastAPI

Role Description

We are working with one of the largest property insurance carriers in the US to build the next generation of wind and hail damage assessment technology, and we’re hiring for Full Stack Engineer, Machine Learning Engineer, and Chief Technology Officer.

Insurance companies in the US spend over $8B a year on loss claim adjustments, which is a highly manual process. We are building a web application that automates existing workflows with the help of Computer Vision and Unmanned Aerial Vehicles (drones).

We are looking for a Full Stack Engineer to own our web application, a Machine Learning Engineer to own our computer vision pipelines, and a Chief Technology Officer to lead and grow the engineering team. Our current stack is TypeScript/Vue and Python/FastAPI.

You'll be joining a small team composed of successful entrepreneurs and alumni from top Bay Area companies.

We are currently in the seed stage and are planning to raise in Q2 2021. Initially you would be hired as a consultant for our Fortune 500 partner until we raise. Significant compensation is available in the form of both cash and equity.

Please send your resume to hello@nspectai.com with the subject line Full Stack candidate, Machine Learning candidate, or CTO candidate, along with some links to recent examples of your work.

About NspectAI

Insurance companies in the US spend over $8B a year on loss claim adjustments, which is a highly manual process. We are building an offline-first Progressive Web App for desktop and mobile that automates existing workflows with the help of Natural Language Processing, Computer Vision, and Unmanned Aerial Vehicles (drones).

Company Culture

We value self-starters who require minimal supervision to complete their assigned tasks. We love it when people are pro-active about identifying and fixing issues in both our products and our processes.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.

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