Growing Future with our Interns
Iris.ai believes an internship is the best school there is – no textbooks and theories, but a real company with real teams, working on real projects. We shape the future of our interns by giving them the know-how and they shape our future by giving us an open mind, because innovation happens when creativity meets experience. It’s a game of giving and receiving where everyone’s a winner.
Here are their success stories:
Ada was studying International Sales & Marketing Management at IBA in Denmark when she applied for an internship at Iris.ai.
“I learned a lot during the internship”. Her job was to perform market research, competitor analysis, lead generation, reviewing upcoming events and writing newsletters. Her biggest achievement was to start hosting workshops for our university clients where she presented our tools.
I really enjoyed my internship at Iris.ai and its fast pace. What I liked was the variety of tasks and creative freedom.
She successfully graduated from university and transitioned from an intern to a full-time Marketing and Communication Associate at Iris.ai. We are very happy to have Ada in the team, piling up professional experience and climbing the ladder of her Marketing career.
Ivaylo Zhelev is another brilliant mind who turned from a Machine Learning Intern into a full-time Junior AI Research Engineer at Iris.ai. He first heard about Iris.ai when he was studying Artificial Intelligence in the University of Groningen.
“I was immediately convinced that Iris.AI would be the perfect learning environment for an aspiring AI researcher like me. And I was far from wrong.”
During his internship he aimed to learn how a research process is performed with a specific product and vision in mind. The mentors he had, and the culture of trust and support inside the company tremendously helped Ivaylo with achieving his goal.
“Very soon into my internship, I realized that I want to keep working with this team in the long term. I am very happy to share that I am now a full-time employee in the company and it is even more fulfilling than I can imagine.”
Thank you for choosing us Ivaylo, we are lucky to have you on board!
Tayssir Khouja was a senior student at Tunis Business School when she applied for a business development internship with Iris.ai. She was very eager to win the spot for the Business Development internship program at Iris.ai and she succeeded.
“I can confidently say I wouldn’t have grown as much as I have in my past four months without Iris.ai. “
As a result of her experience, Tayssir completed her internship more excited than ever to pursue a career in business development and digital marketing.
“I found all the guidance and support I needed in a very welcoming environment, that I adored the most in my internship”
Dynamic, curious and hungry for knowledge, this is Mihalis. He was participating in a double Master degree organized by the European Institute of Technology, when he seeked an internship with us.
“I was hungry for experience with Python, TensorFlow and Deep Learning models. Iris.ai was offering all that, in the NLP world!”
Iris was able to help Mihalis jump in the project in an instant, without any bureaucratic delays, compared to the experiences of his fellow students. The project was clearly defined and structured and he was free to research and implement the solutions he liked with the supervision of very experienced research scientists and software developers. “Iris provided me with all the resources I needed to pull through a hard but impressive and successful project that turned into a perfectly graded Master Thesis.”
And because of his tremendous achievement, Mihalis was offered a full time job position at the company.
“I feel it is so important to mention that working with Iris as an Intern gives you the opportunity to work in state-of-the-art Research projects in the NLP and Deep Learning.”
Sabine was a PhD student at the University of Edinburgh, working on multilingual entailment detection. She wanted to do an internship in a company that would align with her personal values.
My experience was very positive! I enjoyed working closely with the members of the research team, and my project was very well defined and interesting.
The internship helped Sabine to integrate a lot of knowledge which she later applied in her works during the rest of her PhD. “It also made me more open to remote work because the collaboration with the distributed team worked so well!” Sabine and her supervisor enjoyed solving coding problems together.
We miss Sabine’s positive vibe and we wish her best of luck in her Research endeavors!
We were lucky to have one more Physics Master student in our Research Team – Ilaria, who later graduated from Imperial College London. She was looking to gain research experience in machine learning and natural language processing when she applied for an ML internship at Iris.ai
“The internship was one of the most formative experiences I had and it motivated me to pursue a PhD. “
In just a few months, Ilaria acquired lots of different skills that proved very useful in her job and studies afterwards: from the latest advances in the NLP literature to becoming familiar with the day-to-day tools of an ML engineer.
Doing an internship at Iris.ai played a big role in my life as it encouraged me to pursue Research as a career and also gave me an insight into how ML research is conducted in an industry, which is ultimately what I want to do after my PhD.
The informal working environment and everyone’s proactiveness helped me learn a lot and made me feel very welcome and supported from day one. I also found the work really engaging and was never asked to perform any boring or dull tasks, which made going into work every day all the more exciting.
Corentin is a Master graduate in Fundamental Physicsfrom Paris Saclay. In his last year of studies he struggled to choose a career path when he applied for a Machine Learning internship program at Iris.ai.
The internship’s approach was innovative, original and exciting.
He learned methods used in NLP on a large corpus of scientific documents. He had a lot of freedom with the way he wanted to orient the research and the methods to achieve the team goals. “I have learned the do’s and don’ts of working as part of a team on a shared project, how to maintain a proper structure that will stand in time. I now keep this rigor on personal projects as well.
This internship showed me the doors towards ML research!
Corentin completed his internship, more than ever attracted towards the current research in NLP, and other branches of machine learning.