Computer Vision Engineer

About Elementary  

Our team of 40 is growing fast with plans to double in the next 6 months alone. We just secured $30 million in Series B funding led by Tiger Global and Threshold Ventures, Fika Ventures, Fathom Capital, Toyota AI Ventures, and Idealab. With this new capital we plan to expand our engineering, sales and support teams to service an incredible list of recently acquired customers.

As seen in Forbes, TechCrunch and VentureBeat.

Elementary delivers a full-stack, AI-driven visual inspection solution for a wide variety of global manufacturers such as Toyota and Milwaukee Tool. Leveraging computer vision, edge computing, and cloud-based machine learning models, Elementary's proprietary platform is leading the way for massive change in automated manufacturing.

Our mission is to make manufacturing more efficient and less wasteful through scalable, automated, data-driven products that support strained quality inspection teams who continue to experience massive labor shortages due to the ever-expanding demand for manufactured goods. Our goal is to inspect 100% of products coming off of production lines, reducing manufacturing defects and eliminating costly and dangerous recalls of products that ultimately wind up in consumers hands.

We are headquartered in Los Angeles, CA with offices in Mexico City. Remote work available.

“There are few trillion dollar markets like manufacturing, and watching the execution level of the Elementary team to land and expand with global, Fortune 200 companies has been extremely exciting to be a part of.” - Mo Islam, Elementary Board Director and Partner at Threshold Ventures.

We’re looking for a computer vision engineer to work as a member of our machine learning team! In the role you'll work to develop machine vision tools using state of the art approaches. You will add to the list of growing vision tools that are foundational for manufacturing quality automation. You will work with libraries such as OpenCV and PCL to build vision tools that are performant, and robust in manufacturing environments. You are familiar with both classical computer vision algorithms such as RANSAC, ICP, feature/image based alignment and deep learning based approaches to build the next generation of machine vision tools

What you'll do

• Develop production ready computer vision tools to aid in manufacturing quality automation.
• Characterize performance of vision tools and write optimized code (Familiarity with CUDA and other acceleration technologies a plus)
• Work primarily in Python/C++ and leverage data stored in AWS

 

Minimum Qualifications

• Master's degree in Computer Science, Mathematics, Statistics, or a related field
• 3 years of real world experience in building and deploying machine learning/computer vision tools
• Experience with popular frameworks such as PyTorch, Caffe and Tensorflow
• Experience with Python/C++
• Experience with OpenCV libraries
• Emphasis on strong development practices: git, github, CI/CD, unit testing
• Willingness to learn and grow in the role

  Benefits

When joining Elementary, you’ll become an integral member of our small community and will receive the following benefits:  

• Compensation package including competitive salary and early-stage equity
• Medical and Dental insurance benefits
• Flexible Vacation Policy (3-4 weeks)
• A team culture focused on inclusivity, curiosity, personal and technical humility, ownership, and work/life balance.