Accepting applications

Yandex
ML Prize

Yandex prize for scientists and educators in machine learning
  • 06.05–21.06.2024
    Application period
  • 01.07–09.08.2024
    Interviews
  • Autumn 2024
    Prize ceremony

Areas

Yandex awards this prize for outstanding work in the scientific areas, where the company has expertise. Yandex researchers are cutting-edge innovators who work on problems that still don’t have a solution.

The algorithms, methods, and technologies they create are used in many Yandex products, including Yandex Search, the voice assistant Alice, and self-driving vehicles.

  • Speech recognition and speech synthesis
    Research that helps voice assistants understand speech and respond to users.
  • Computer vision
    Research that helps self-driving vehicles navigate in space and enables computer systems to extract information from images.
  • Information retrieval
    Methods for handling huge amounts of data and identifying patterns in it.
  • Natural language processing and machine translation
    Research that enables language models to generate texts and online translators to understand hundreds of different languages.
  • Generative models
    Neural networks algorithms that create text, video, audio, or images at the user’s request.

Nominations

  • First publication
  • Researchers
  • Young academic supervisors
  • Academic supervisors
  • ML Educators

First publication

Candidate requirements

Students and postgraduates studying at a university or research institute in Russia, Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Serbia, Tajikistan, Turkmenistan, or Uzbekistan.

First publication or talk at  A* and A conference or in Q1 journal in 2023–2024.

Less than 3 publications at conferences and in journals of all time.

Prize

  • A cash prize amounting to 500,000 rubles (excluding personal income tax) paid once.
  • 500,000 rubles that can be spent on any Yandex Cloud services for computing, storing and publishing datasets, and model training .i The grant can be used in conjunction with the project team under the guidance of the laureate.

Researchers

Candidate requirements

Studying or working at a university or research institute in Russia, Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Serbia, Tajikistan, Turkmenistan, or Uzbekistan.

Two and more publications or talks at A* or A conferences or in Q1 journals, and at least one thesis in 2023–2024.

Prize

  • A cash prize amounting to 500,000 rubles (excluding personal income tax) paid once.
  • 500,000 rubles that can be spent on any Yandex Cloud services for computing, storing and publishing datasets, and model training .i The grant can be used in conjunction with the project team under the guidance of the laureate.

Young academic supervisors

Candidate requirements

Up to five students with publications at A* and A conferences or in Q1 journals.

Students’ first publication date under scientific supervision not earlier than 2020.

Working at a university or research institute in Russia, Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Serbia, Tajikistan, Turkmenistan, or Uzbekistan.

Prize

  • A cash prize amounting to 1 million rubles (excluding personal income tax) paid once.
  • 500,000 rubles that can be spent on any Yandex Cloud services for computing, storing and publishing datasets, and model training .i The grant can be used in conjunction with the project team under the guidance of the laureate.

Academic supervisors

Candidate requirements

More than five students with publications at A* and A conferences or in Q1 journals.

Working with students on theses or dissertations at a university or research institute in Russia, Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Serbia, Tajikistan, Turkmenistan, or Uzbekistan.

Academic degree.

Prize

  • A cash prize amounting to 1 million rubles (excluding personal income tax) paid once.
  • 500,000 rubles that can be spent on any Yandex Cloud services for computing, storing and publishing datasets, and model training .i The grant can be used in conjunction with the project team under the guidance of the laureate.

ML Educators

Candidate requirements

Authors of open source courses in the field of ML who are holding classes at universities or research institutes in Russia, Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Serbia, Tajikistan, Turkmenistan, or Uzbekistan.

Prize

  • A cash prize amounting to 1 million rubles (excluding personal income tax) paid once.
  • 500,000 rubles that can be spent on any Yandex Cloud services for computing, storing and publishing datasets, and model training .i The grant can be used in conjunction with the project team under the guidance of the laureate.

Prize winners

2023
2022
2021
2020
2019
First publication
Researchers
Young academic supervisors
Academic supervisors
ML Educators
Yandex researchers
  • Aydar Bulatov
    Aydar BulatovMIPT
    Effective transformer models, NLP, recurrent neural networks, deep learning
  • Nikita Gushchin
    Nikita GushchinSkoltech
    Generative models, diffusion models, Schrödinger bridge, optimal transport, unpaired style-transfer
  • Alexander Nikulin
    Alexander NikulinMIPT, Tinkoff
    Offline reinforcement learning, reinforcement learning

Prize Panel

  • Pavel Braslavski
    Pavel BraslavskiAssistant Professor at Nazarbayev University, Associate Professor at HSE University
  • Evgeny Burnaev
    Evgeny BurnaevHead of Skoltech AI Center, Head of AIRI Research Group
  • Alexey Gusakov
    Alexey GusakovCTO of Yandex Search
  • Alexander Krainov
    Alexander KrainovDirector of AI Technologies development, Yandex
  • Sergey Nikolenko
    Sergey NikolenkoAssociate Professor at PDMI RAS, SPbU
  • Stanislav Smirnov
    Stanislav SmirnovProfessor at the University of Geneva, St. Petersburg State University, and Skoltech

Prize Jury

FAQ

  • Are the Yandex ML Prize and the Ilya Segalovich Award the same thing?

    Yandex ML Prize is the new title of the Ilya Segalovich Award. Yandex ML Prize covers 11 countries. It’s intended for the researchers, academic supervisors, and educators advancing the ML discipline.

  • I’m the Yandex ML Prize winner in the period of 2019–2023. Can I apply in 2024?

    Yes, you can re-apply for the prize.

  • Can I apply in multiple categories?

    No, you can only apply for one nomination except you nominate other candidates for the prize.

  • I’m studying at a foreign university. Do I qualify for the prize?

    Yes, so long as your university or research institute is located in Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Serbia, Tajikistan, Turkmenistan, or Uzbekistan.

  • I’m a graduate student in my last year. Do I qualify for the prize?

    Yes, anyone earning a specialty, bachelor’s, master’s, or postgraduate degree at a university or research institute in Russia, Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Serbia, Tajikistan, Turkmenistan, or Uzbekistan can apply.

  • I’m studying at a private university. Could I win a prize?

    Yes, so long as you’re doing research in machine learning: computer vision, information retrieval, natural language processing and machine translation, speech recognition and synthesis, or generative models.

  • I’m not on a scholarship. Do I qualify for the prize?

    Yes. You can apply.

  • My scientific paper was declined for publication. Can I apply for the prize?

    No. You can only apply if your work has been published or accepted for publication. .

  • My scientific achievements don’t yet meet the requirements for the prize. Can I still participate?

    We will not be able to accept your application if it does not meet the requirements. But you can nominate a supervisor or professor working in the field of ML.

  • My supervisor works with universities and research institutes in other countries. Can I nominate them?

    Yes. Working with foreign universities and research institutes is not an obstacle for receiving the prize.

  • How do I nominate someone for ML Educator nomination?

    The application is to be submitted by a professor or a group of students who have completed the course.