This also told test is based on a conversation with Girik Malik, a scientist applied to Amazon Web Services. The following has been modified for duration and clarity. Business Insider has verified its job and its academic history.
When I finished my doctorate. In the AI at the Northeastern University in 2023, the AI labor market was a world far from companies of large technologies of the AI talent war in red.
I obtained a job as a scientist applied to Amazon after working there in the summer of 2022. It was before the company implemented a job freeze for the rest of this year.
Today, a high -level AI researcher with a doctorate. could be scored a salary of $ 1 million to companies like Meta. That said, the road to win a doctorate. is not easy.
It requires a lot of discipline and motivation. In fact, during one of my semesters, I was so caught up in courses and research that I had barely time to eat. I ended up creating a simple stew and eating it week after week for the whole quarter of the school. It was just so difficult.
It is in addition to the time taken. A doctorate. The candidate could spend about five years trying to finish it. This time could have been spent on practical experience in the world of work.
Obtaining a doctorate is difficult but rewarding
There is still a lot of value to obtain a doctorate. Ai.
Of course, you can try self-learning on the field thanks to the current training. You could even get products yourself. But if you want to shape the future of AI, you have to do a doctorate.
Go through the process of obtaining a doctorate. will make your learning process much more structured and precise. This has become very important now, given how IA research has become competitive.
It is only 10 to 15 years ago, a small change or an adjustment in a model would produce different results which could win you in a prestigious newspaper or an invitation to a high -level conference. This is no longer the case.
The bar has become much higher. You must perform more experiences and you must demonstrate results that are well generalized through a wide variety of problems.
It is not too late to obtain a doctorate. in ai
Some believe that AI is progressing so quickly that it can be too late to enter the field by the doctorate. itinerary. Detractors believe that all innovations and pierced in AI could be discovered when you get your diploma.
I do not agree with this point of view. A doctorate. In the AI will be just as, if not more, of 50 years relevant. This is because AI will become omnipresent in our daily life. They could be integrated into almost all the code we write and the systems around us. You will need more, no less, people who can understand and work with AI.
AI systems are not perfect. Their algorithms could break in the future, and when this will happen, you will need people who include AI at a fundamental level to repair it. It will probably be someone who has a doctorate. in her.
It’s like having a car. It can be a perfectly nice car, but you will always have to form mechanisms to repair it when it breaks down. We have not stopped teaching mechanical and car engineering simply because we can make better cars. The same goes for AI.
Industry internships are important
I strongly recommend doing internships during summer breaks between your doctorate. studies. This counts even if you intend to stay in the academic world.
In my case, I did three courses, with the Bosch Center for Artificial Intelligence, Microsoft and Amazon. I managed to get Microsoft and Amazon’s return offers.
The best part of the work in the industry is the easy access that you get to data and calculations.
In the university environment, you are often in competition with five to six doctorates. Students to use a computer cluster. And even if you can run your algorithm, it is finally based on a limited data set operating on limited equipment. This algorithm may not work if you will fail it.
So take full advantage of these courses. The courses that I made forced me to go beyond the manual and to solve complex problems.
A challenge that I was faced with my first internship in Bosch was to obtain my network of neurons to train on a set of large -scale data. For example, I could have a massive data set with more than 2 million videos. It was on a much larger scale than what I was used to at my university.
Facing this problem helped me give me the skills necessary to resolve other problems related to the infrastructure that I encountered later in my doctorate. And my career.
Win a doctorate. In AI, IA could open doors to you, but I would warn those who would pursue it for money. If someone wants to pay you a few million dollars to work in their business, they will filter and filter the candidates more aggressively.
If you can maintain this level of motivation during the five to six years it is necessary to finish your doctorate, then go for it. However, I suggest applying this motivation elsewhere because you could achieve as much in other areas.
Do you have a story to share on your higher education or your career in AI? Contact this journalist at [email protected].
