AI Research Intern

Job Summary

Do you want to engineer and drive innovative Tetra Pak solutions that embed Artificial Intelligence? 
 
The Early Innovation & Partnerships in Automation and Digital within Tetra Pak is now looking for an Artificial Intelligence intern to join the team. As an AI research intern, you will play a relevant role in advancing our manufacturing processes through cutting-edge research. You will collaborate with cross-functional teams to research on the possibility of applying multimodal solutions to enhance efficiency and quality across our production lines. 

The Early Innovation & Partnership team is responsible to lead exploration activities, by scouting and consolidating new technologies available in the market that will further improve performance, quality and sustainably of current and future Tetra Pak equipment. 

What you will do

In this position you will have the opportunity to work with the following areas: 

• Conduct research on multimodal data (e.g., visual, sensor, text) collected from manufacturing processes 
• Analyze a variety of non-ml software elements involving data quality and data preparation 
• Analyze and interpret data to identify patterns, anomalies and optimization opportunities. 
• Experimenting with new multimodal capabilities for Machine Learning models developed for process control and defect detection. 
   

We believe you have

• Bachelor degree, or higher qualification, in Engineering, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field required. 
• Experience with PyTorch, or at least another major deep learning framework such as TensorFlow or JAX. 
• Strong Programming Skills – knowledge of programming languages like Python, and familiarity with NVIDIA GPUs and the software stacks that optimize them 
• Experience or familiarity with Computer Vision, Machine Learning, & related software concepts. 
• Meaningful experience with Deep Learning applications: A strong understanding of the under the hood fundamentals of deep learning (layer details, backpropagation, batch normalization etc.), and additionally the ability to read and implement related academic literature and experience in applying state of the art deep learning models for computer vision.  
• Meaningful experience in GPU performance profiling. Knowledge of CUDA is preferred. 
• Familiarity with HW (​Hardware) architecture (ideally accelerators), numerical software, DL (Deep Learning) inference, deployment, model conversion topics (e.g. Torch Script, Torch Trace, ONNX, TensorRT/TRT) 
• Fluent in English and Italian, both written and spoken 
• As you will lead activities in your technical area, you have the ability to work independently and take initiative and technical decisions:
  • As a person, you are innovative and motivated, with good communication and leadership skills.
  • You have a structured and analytical way of thinking.
  • You are a good team player who is able to manage long term relations with the ability to interact with different stakeholders at many levels.
  • You are curious, committed and eager to learn and improve day after day.