Your chance to be part of a team of professional researchers in the field of artificial intelligence
Until the end of the application for an internship left:
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APPLY FOR AN INTERNSHIP
You can already start to work on real projects in a challenging and evolving field - AI, while others go to the lectures, receiving only "dry" knowledge, and just dream of a beautiful life after graduation
Come for an internship at a machine intelligence laboratory!
You will pump and improve your knowledge and skills in machine learning while working on real projects.
Stop doubting - apply!
Real projects
At the internship, you will receive unique research experience working on real projects in the fields of computer vision, natural language processing and time series analysis from our industrial partners
Mentor
For each trainee secured a mentor - a qualified laboratory employee who coordinates the implementation of practical work in research and applications
Employment
Opportunity for career growth in a machine intelligence laboratory after successfully completing an internship and receiving employment recommendations for industrial partners
Ability to publish results
Placement of the outcome of results you can use to: • publication of scientific articles in leading Russian and foreign publications • participation in international conferences • protection of graduation qualification work
The internship is an annual program that consists of four stages: challenger, trainee, trainee researcher and researcher. The result of each stage is a completed project, the results of which you will receive a certificate and recommendations for further internships or for employment.
You do not have to go through all 4 stages, but their passage will be a great advantage for you. The annual internship necessarily begins with stage 1, the duration of which is 2 months.
1
Challenger
Participants choose an interesting task presented by the laboratory. For each of them, the final result and work plan are recorded. The main result of the first stage is the presence of a strong baseline solutions to the problem. This stage of the internship is not paid
2 months
2
Trainee
Participants can continue the task they are interested in, selected at the first stage, or change direction. The main the result of the work at the second stage is a prepared draft article on solving the problem and its progressive solution. Paid Stage
3 months
3
Trainee researcher
At the beginning of the stage, the participants are determined with the direction of the internship and choose the appropriate task. Tasks are broken in the areas of internship. You can freely plan your work. Paid Stage
3 months
4
Researcher
Participants in the internship continue to work in the direction of the chosen task, but can change both the task and the direction. Each of the tasks is summarized and the participant is invited to choose and record the result of the third stage, and also, together with the mentor, determine the work plan for its implementation. Paid Stage
3 months
Directions
Data Science - Engineer
• Solving industrial problems • Creation of tools for working with data and tools for operating SDK • Construction of demonstration stands and project infrastructure
Data Science - Researcher
• Conducting research in various areas of artificial intelligence tasks, developing new approaches, methods and algorithms • Creation of SDK modules in the form of Reference Code for solving one highly specialized task
The internship is annual and is divided into 4 stages: Stage 1: from March 3 to April 26 2 - 4 stages last three months each. Dates of passing 2 - 4 stages are determined by each intern for himself.
Will the internship be paid?
The first stage is not paid. But, starting from the second stage, all trainees receive a scholarship, the size of which depends on the outcome of the first stage, the better the previous stage is completed, the higher the scholarship!
What work experience and knowledge are needed to get to you?
- Experience is not required! - Student older than 2 courses - Ability to program in Python
Can I get there, if I'm not the MIPT?
You can, there are no restrictions!
What stages of selection do I have to go through?
Fill in the form and send your CV
Solve the test task
Take a telephone and face-to-face interview
What will happen after the internship?
After each stage of the internship, you will receive a certificate. If you successfully complete the first stage, the opportunity to go to the second stage of the internship (paid stage), etc. Opportunity for career growth in the laboratory and recommendations for employment in other partner companies. You can use the results of the results of the internship to: • publication of scientific articles in leading Russian and foreign publications • participation in international conferences • protection of graduation qualification work
How many hours per week should be given?
A total of 20 hours, 10 of which you can work remotely
Can I get directly to the second or third stage?
No, the internship starts from the first stage
Is it possible to go to the second and subsequent stages of the internship, for example, in a month?
Of course! You can continue your internship at any time!
Can graduate apply for the internship?
Yes, you can
Where can I ask questions if I cannot find the answer above?
That's what the participants think about the internship
An internship in a laboratory is a great way to start a career as a data engineer or scientist in the field of image processing and artificial intelligence. The public knows for certain that a person gets the best experience only in the process of work, and not sitting out his pants at his desk. It is essential at one point to switch from the use of neural networks in the "black box that just does cool" mode to a detailed analytical work on the development and improvement of neural network models when working on real industrial projects under the scientific supervision of active, friendly and educated senior comrades. In addition, it is worth noting a very flexible work schedule, many interesting third-party events (seminars, lectures, teambuildings) and amazingly comfortable armchairs in the office!
Nikolay Gaiduchenko
Data Science Researcher in Machine Inteligence Laboratory
At the internship, I studied non-standard approaches to the task of one of the future laboratory projects. The internship turned out to be an excellent opportunity to finally work with real data and independently work out a solution to the problem that has not yet been solved before, from the beginning to the end.
Daria Polyudova
Data Science Researcher in Machine Intelligence Laboratory
After completing the specialization at Сoursera and mastering Python at an acceptable level, I wanted to get the practice of working not only on test problems. The internship in the Laboratory from the first week of work allowed me to take part in the solution of a real project, get to know and talk to professionals in my field, learn from the experience of a curator (and visit ShAD together with her), and even go on a tour of Yandex from K. Vorontsov. Thanks to the well-thought-out structure of tasks during the internship, it was easy to follow the plan and get the final result in the form of a working model. After the successful completion of the internship, I was offered to continue working in the Laboratory. The past year of internship and work has become a powerful boost in programming, the ability to create a convenient architecture and backend development. Thanks Labe for the development!
Evgenia Veselova
Data Science Researcher in Machine Intelligence Laboratory
I was engaged in the task associated with the analysis of banking transactions. And at the disposal were real data provided by the bank. It was nice to realize that what you were given as an internship task was really necessary and in demand. To research data, put forward hypotheses, propose solutions - there was a lot of freedom in the process of work, this is an opportunity to feel like a researcher.
Vasily Alekseev
Data Science Researcher in Machine Inteligence Laboratory
An internship is an excellent opportunity to move from academic tasks to real practice and research. Here I met a very friendly team of very smart and interesting people who are always ready to help me. It is pleasant to apply the acquired knowledge to practical tasks. I am very grateful to the laboratory for this internship.
Vladimir Doholyan
Data Science Researcher in Machine Inteligence Laboratory
Apply for an internship
On February 12, a link will come to your mail to solve the test task, which will need to be completed until 23:59 February 18
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