Max Ryabinin

Experience

• 

  Yandex

  Jul 2018 - Sept 2018

  Machine Learning Engineer Intern

  Worked in the Machine Translation Core team at Yandex.Translate. Researched and implemented an unsupervised method for subdomain selection in diverse parallel corpora.

• 

  Replika

  Jun 2019 - Aug 2019

  Machine Learning Engineer Intern
• 

  Yandex

  Sept 2019 - Sept 2023

  Coauthored 10 papers at the most influential conferences in ML/NLP (NeurIPS, ICML, EMNLP) with 5 first-author papersAreas of interest: natural language generation, extraction of knowledge from large models, efficient/scalable deep learningPublications: https://scholar.google.com/citations?user=930PERsAAAAJ&hl=en

  • Senior Research Scientist

    Nov 2022 - Sept 2023

  • Research Scientist

    Sept 2019 - Nov 2022
• 

  Higher School of Economics

  Sept 2019 - Apr 2023

  Teaching Efficient Deep Learning Systems (https://github.com/mryab/efficient-dl-systems) and Deep Learning (https://github.com/aosokin/dl_cshse_ami). I am responsible for planning the courses, the content and delivery of lectures, as well as some practical sessions. Also, I coordinate the work of instructors and teaching assistants at each course to ensure high-quality and timely feedback on student assignments.

  • Senior Lecturer

    Sept 2022 - Apr 2023

  • Lecturer

    Sept 2019 - Sept 2022
• 

  Yandex School of Data Analysis

  Mar 2021 - Apr 2023

  Lecturer

  Since 2022, I am in charge of the course on Efficient Deep Learning Systems that I have designed. Prior to that, I was one of the authors of the smaller "Deep Learning at Scale" mini-course taught as a part of the ML Engineering Seminar.

• 

  Together AI

  Sept 2023 - now

  Distinguished Research Scientist

  Working on the training infrastructure that powers Together products, conducting research on efficient methods for large-scale deep learning