AI / Computer Vision Engineer (4-Day Work Week) For Americans

We’re a small engineering and product development company just North of Provo, UT, that’s been in business for almost 10 years. We specialize in fully customized vision systems developed specifically to our client’s needs and we’ve grown to about 40 employees without any outside funding. Our company is profitable and we’ve been experiencing consistent growth over recent years so we are scaling our team.

Currently, we are looking for an AI / Computer Vision Engineer with a strong understanding of Deep Learning.

This person must be comfortable working on-site, full-time. We will help relocate the right candidate.

Top Reasons to Work with Us

– We’re a small company that’s profitable and independent of outside funding

– We’ve almost doubled in size since 2018 and expect to grow more

– You’ll get a chance to wear multi hats, contribute across different functions, and learn new technologies

What You Will Be Doing

– Develop image analysis algorithms

– Develop Deep Learning architectures to solve problems

– Design and create platforms for image processing and visualization

– Use knowledge of computer vision libraries

– Understand dataflow programming

What You Need for this Position

– Bachelor’s Degree in mathematics, computer vision, computer science, machine learning, information systems, or other related fields of study

– Expert-level understanding of Deep Learning

Previous experience working in this tech environment:

– Linux

– Golang

– C++

– VueJS

– Docker

– Embedded Systems

– Machine Learning

What’s In It for You

– $120k-$170k base salary (DOE)

– Quarterly bonuses

– 4 day work week

– 100% paid Health, Dental, and Vision

– Life & Disability insurance

– 120 hours of PTO (vacation & sick time)

– Relocation assistance, as needed

So, if you are a AI / Computer Vision Engineer with 5+ years of experience, please apply today!

Colorado employees will receive paid sick leave. For additional information about available benefits, please contact Daniel Chavez

Applicants must be authorized to work in the U.S.

Additional ways to apply

Preferred Skills