Intern Advanced Research - Zero-shot Anomaly Detection

OUR STORY

At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today.

When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+, diverse and dedicated creators & makers of technology around the world!

Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential.

Working at ST means innovating for a future that we want to make smarter, greener, in a responsible and sustainable way. Our technology starts with you. Join us and start the future!

YOUR ROLE

Are you passionate about pushing the boundaries of machine learning and anomaly detection? Do you thrive in innovative environments where your ideas can shape the future of technology? We are seeking a motivated intern to join our cutting-edge research team focused on zero-shot learning for new domains in anomaly detection.

Key Responsibilities

• Design and Development of Machine Learning Algorithms: Create and refine algorithms tailored for anomaly detection systems, ensuring they are robust and efficient.
• Datasets Acquisition and Data Pipelines Implementation: Source relevant datasets and develop data pipelines to streamline the processing and analysis of large volumes of data.
• Propose Novel Algorithms: Innovate by proposing new algorithms to address the challenges of zero-shot learning in the context of domain shifts.
• Academic Contributions: Contribute to the scientific community by writing and submitting papers to conferences and journals, showcasing your research and findings.
  
  

Your Skills & Experiences

• Last year of a master degree in engineering or computer science.
• Knowledge and understanding of machine learning fundamentals, including deep learning and neural networks
• Proficiency in Python
• Proficiency in AI/ML frameworks PyTorch
  
  

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 part of our company culture. Our DEI vision is, “At ST, you can be the true version of yourself”, we value all employee contributions and have zero tolerance for any kind of discrimination.

Joining us is also about a greater work-life balance and workplace with equal opportunities. Dedicated Employee Resource Groups for women and LGBTQIA+, hybrid work arrangements are amongst the many DEI & Sustainability initiatives that make us a great place to evolve your career.

To discover more, visit st.com/careers