**This position is for Mountain View, CA or Pittsburgh, PA offices - only apply if you are based there or willing to relocate**

Qeexo is the first company to automate end-to-end machine learning for edge devices. At Qeexo, we are revolutionizing the way people develop “tinyML”. We work with the world’s top companies in the embedded space, enabling users to effortlessly create and deploy machine learning solutions on constrained platforms without writing a single line of code.

We are looking for full stack software engineer who loves to code and is not afraid of challenging, open-ended problems, and wants to help us shape the future of lightweight machine learning. You will be working with a small and highly capable team of machine learning engineers and will have the opportunity to make a meaningful impact on the growth of a burgeoning startup.

- Developing new features on Qeexo’s AutoML platform and associated products across a wide range of technologies
- Create solutions for managing cloud services, deployment and other automated devops pipelines
- Prototype demos and proof of concepts for trade shows or marketing validation purposes

Required skills:
3 – 5 years of professional software development work experience
- BS Computer Science
- Experience with modern web development best practices and frameworks (JS, HTML, CSS)
- Python programming experience
- US work authorization required

- C, Swift or Java experience
- Proficiency with Linux or another Unix-based operating system and basic shell scripting
-  Familiarity / interest in ML
- An experimental mindset
- Familiarity with AWS services and integration

About Qeexo

Qeexo is the first company to automate end-to-end machine learning for edge devices. Its Qeexo AutoML platform provides an intuitive UI that allows users to collect, clean, and visualize sensor data and automatically build “tinyML” models using different algorithms. Spun out of Carnegie Mellon University, Qeexo is venture-backed and headquartered in Mountain View, CA, with offices in Pittsburgh, and Shanghai. Find more at https://qeexo.com/