Our mission is to make search results high-quality, relevant, and up-to-date.
Our team cares about ensuring that a user who comes with a query receives an answer that takes into account the individual characteristics of the task. For example, ranking the query "buy vacuum cleaner X" might consider the product price, its availability in the store, reviews, ratings, and other information related to e-commerce. Ranking the query "wildfires" should consider news reports.
We are engaged in end-to-end problem solving, including steps of problem analysis, developing a system of online and offline metrics for the task, training large search models (e.g., BERT), deploying models to production, and conducting A/B experiments.
Our main tasks are improving the quality of ranking for web search, image search, and music search for Alice.
What tasks await you
- be technically responsible for several Search projects;
- generate new ideas, identify weak points in colleagues' ideas;
- read articles and suggest improvements to the ML architecture;
- write code in C++ and Python;
- train and deploy ML models;
- conduct A/B experiments;
- analyze ranking based on data.
We expect you to
- understand the principles of machine learning;
- have experience solving applied problems using Deep Learning technologies, particularly in the fields of NLP or recommendations;
- have experience with one of the Deep Learning frameworks (PyTorch, TensorFlow, or others);
- be interested in the latest publications in the field of Deep Learning (not necessarily only in NLP/CV);
- have a good command of C++ or Python;
- have a good knowledge of algorithms and data structures.
It will be a plus if you
- have independently led projects;
- have worked as a mentor or manager.
Working conditions
- a modern office in the center of Moscow with everything necessary for comfortable work and rest, there is employee parking;
- official employment;
- compensation for food payments on the campus and in the surrounding area;
- flexible schedule: we do not control who arrives and leaves at what time, the main thing is to complete tasks;
- an extended voluntary health insurance program: dentistry, examinations, home doctor visits, and much more, with 80% of the VHI cost for spouses and children paid for;
- high total income, bonuses every six months for all who work effectively;
- the opportunity to participate in Yandex events (educational programs, lectures, meetups);
- a talented expert team from whom you can learn a lot;
- a culture of openness and mutual assistance;
- the ability to quickly see the results of your work and create services used by millions of people.