Intern - Machine Learning & AI - Generative AI for Image processing and defect detection

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.
YOUR ROLE

The Data and Knowledge Engineering team (DKE) within the Technology for Optical Sensors (TOS) group is focused on understanding and developing ways to use machine learning (ML) and artificial intelligence (AI) to develop and support our research and development (R&D) processes. We work closely with several R&D teams within ST and with the engineering teams within Imaging Sub-group. Specializing on ML & AI techniques associated with Imaging technologies and Imaging signal processing, we are developing new ways to enhance our processes with ML & AI methodologies and tools. In your internship with us, you will be focusing on understanding and developing new ways of using these tools and implementing them within the activities in ST. Your role will involve:

• 
  
• Understanding the data sources available for analysis development
  
• Researching and experimenting with techniques for ML and AI assessment of the data
  
• Developing frameworks and analysis paths
  
• Testing and verifying the developed analysis frameworks
  
• Reporting and documenting the work for communication within the team and wider ST community
  

You will be working within a multi-site team, including other students working on similar or related projects. You will benefit from the support of the other team members as well the other students in the team and the Edinburgh site. With guidance, you will be responsible for developing and directing your own R&D activity, meeting the agreed timescales and regularly reporting your work to the team and the wider ST community. The team is very experienced in managing Masters and MEng level projects and has an excellent track record in supporting such students to achieve the best project outcomes possible.

YOUR SKILLS & EXPERIENCES

You will be following a study programme leading to a Master’s degree or Master of Engineering degree. Your course of study will be targeted at one, or a combination of the following fields: Mathematics, Computer Science, Electrical and Electronic Engineering. You will have a demonstrable interest in computer systems and computer programming and an interest in, or developing interest in Signal processing, Signal communication systems, Machine Learning and Artificial Intelligence systems, with a clear experimental interest in researching, developing and learning about new technologies in these fields.

You will have interest in and understanding of the following fields:

• 
  
• Basic mathematics related to data analysis
  
• Signal processing techniques
  
• Signals and signal communication systems design
  
• Algorithm development
  
• Computer systems and architecture
  
• Number representation and manipulation
  
• Programming and program development in one or more of the following environments / languages
  
  • 
    
  • Procedural and object-oriented programming
    
  • C / C++
    
  • Python
    
  • Jupyter notebooks
    
  • Matlab/Simulink
    
  
  
  
• Understanding of revision control and change management
  

It will be advantageous if you have a demonstrable interest in:

• 
  
• Data exploration, visualization, analysis and reporting (Data analytics)
  
• Machine learning systems
  
• Artificial Intelligence
  

Successful applicants must have the right to work in the UK

ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.

At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.

To discover more, visit st.com/careers.