Computer Vision/AI Engineer

Ecolab is looking for a Computer Vision/AI Engineer to be part of a dynamic team that's at the forefront of technological innovation. We're leveraging cutting-edge AI to create novel solutions that optimize operations for our clients, particularly within the restaurant industry. Our work is transforming how restaurants operate, making them more efficient and sustainable.

This is a hybrid role based in Eagan, MN.

What’s in it For You

• The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, and healthy environments
• The ability to make an impact and shape your career with a company that is passionate about growth
• The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best

What You Will Do:

• Support the development of complex computer vision systems by experimentally validating algorithms and creating automated testing capabilities.
• Support prototyping and evaluation of proof-of-concept stage computer vision systems with the operation of an advanced sensing lab, providing evaluation and development support.
• Select appropriate sensors and computing hardware for the expansion of a laboratory space based on targeted projects and capabilities.
• Assist in the implementation of computer vision algorithms using libraries such as OpenCV and frameworks for CNNs (Convolutional Neural Networks) for object detection, tracking, and image classification 
• Collaborate with cross-functional teams to integrate vision systems with hardware and software platforms, ensuring high performance and reliability 

Minimum Qualifications 

• Bachelor’s degree and 5 years work experience; or no degree and 9 years combined education and equivalent work experience
• 3 years of experience (work or educational) with a focus on computer vision or machine learning Vision AI
• Proficiency in Python programming 
• Strong knowledge of core computer vision algorithms and libraries like OpenCV 
• Strong knowledge of convolutional neural networks for computer vision tasks 
• Immigration sponsorship not available for this role

Preferred Qualifications

• Master’s degree (MS) in Computer Science or related engineering field.
• Experience developing with hardware for systems utilizing cameras or similar sensors, such as robotics, multi-camera systems, or embedded sensing.
• Experience with experimental validation or automated testing practices.
• Familiarity with Azure Machine Learning and Azure Vision AI 
• Experience with advanced object detection frameworks like YOLO and Roboflow 
• Experience using PyTorch, AutoML and similar model training frameworks 
• Interest in collaborating with partners outside of core team / organization 

Annual or Hourly Compensation Range

The pay range for this position is $98,600.00 - $148,000.00. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws.

Benefits 

Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits. 

If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here. 

Potential Customer Requirements Notice

To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to:

- Undergo additional background screens and/or drug/alcohol testing for customer credentialing.

- Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.

 

Americans with Disabilities Act (ADA) 

Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.