Meet Sara our Engineering Graduate

Name: Sara Rehman
Track and graduate generation: Engineering Track, 2024-2026
Education: BSc in Computer Science, University of Copenhagen and MSc In Human-Centered Artificial Intelligence, The Technical University of Denmark.
Nationality: Danish

Why did you apply for the graduate program?
I applied for the graduate program at GN as I approached the completion of my Master’s degree and was preparing to write my thesis. My educational journey was interdisciplinary, with a MSc in Human-Centered AI from the Technical University of Denmark and a BSc in Computer Science from the University of Copenhagen. This background laid the foundation of my understanding of how technology could be used to improve people’s lives and inspired me to further explore my interests within the field. 

I was very inspired by GN’s innovative approach to technology development and commitment to making a meaningful impact in individuals’ lives. These values resonate deeply with my own personal and professional aspirations. As I explored the various opportunities at GN, I discovered the graduate program, which I felt was the perfect fit for my goals.

The AI/Machine Learning Engineering track in the graduate program offered the opportunity to explore various areas of technology within the organisation. I was also very intrigued by the rotational structure of the Graduate Program with its focus on continuous learning, overcoming challenges and gaining new experiences while working with different teams and departments. This made it the perfect next step in my professional career. 

What is your favorite thing about being a graduate?
Being a graduate is a truly unique, rewarding and multifaceted experience. One of my favorite aspects of the graduate program is the strong sense of community it fosters. From the onset, you connect with a group of fellow graduates from all over the world who have also recently completed their studies, forming a strong network that spans across different tracks in the organization. There is a strong sense of collaboration and support through shared social activities and professional experiences in the program and it makes the experience equal parts fun, inspiring and fulfilling. 

I also really enjoy the rotational structure of the program. With the three rotations of eight months each, there are many opportunities to explore interests, develop skills and learn from experts across various teams and projects. During my first rotation, I joined the R&D Insights and Machine Learning team, which enhanced my technical knowledge in both domains and allowed me to build valuable connections. For my second rotation, I will be traveling to the US, specifically to Cupertino in California, where I will work with AI and Machine Learning in video products. I really look forward to gaining valuable skills and experiencing the culture while working with the team there.

As a graduate, you are entrusted with different responsibilities, driving projects and contributing ideas, creating value for the different teams. There are also ample opportunities for professional growth and support through different training sessions and the graduate mentorship program.