Artificial Intelligence (AI) & Machine Learning (ML) is a new breakthrough technology for our company. AI is key to enabling our future vision technology as well as one of the main components of our portfolio of innovation. To enable the development of Applied AI solutions to meet global product and packaging goals, technology innovations are needed in areas such as machine control, robots, vision, sensors and process control. 



As an Artificial Intelligence and Machine Learning Engineer you will be: 



We are looking for passionate and driven individuals who are:

Energized about solving the toughest engineering problems related to manufacturing, robotics, and packaging. 



Intellectually curious about innovative technology and imagining how to apply technology to tackle previously impossible problems. 



Comfortable working as a team and directly involved in the testing and use of equipment to design a solution. 



Energized about sharing your ideas and participating in team ideation sessions to explore all options and collectively decide on a solution to meet the business needs. 



Curious about partnering with academia, startup companies, and external partners to stay connected and informed of all the latest technology and software. 



Required 



Bachelor's Degree in Electrical Engineering, Computer Science, Data Science or validated experience in the Controls Engineering field. 

Demonstrated work experience in Software engineering specifically in design, coding, testing, deployment and support. 

Development experience with Linux, Python, and C++ programming languages. 

Hands on work experience with open source machine learning libraries such as Computer Vision (Open CV) and Pytorch. 

Development and Implementation of Machine Learning (Deep Learning) and AI algorithms and models. 



Preferred 



Experience in industrial or home robotics. 

Experience with industrial vision systems such as Cognex, National Instrument and Keyence. 

Experience with open source programming such as Open VINO, ROS, and Virtualization. 

Experience with emulation environments such as Unity. 

Experience in GUI (Graphical User Interfaces).