One of the key tasks for Yandex Taxi ML is to optimize vehicle drop-off and pick-up points. We are actively developing this area and looking for a talented ML developer with big data processing experience to join our team.

About the Team

Learn more about Yandex's urban service development at dev.go.yandex.

What tasks await you

Organize the full ML project cycle You will be responsible for the entire cycle: communicating with the business stakeholder and formalizing tasks, conducting EDA, developing prototypes, conducting A/B tests, and implementing production solutions.

Design experiments, come up with new ways to evaluate quality How to collect training data so that it is unbiased? How to evaluate the effect of using a model before implementation if its impact is spread over time? You will need to find answers to these questions.

Find the optimal way to solve business problems and impact the service We are looking for the most effective ways to solve tasks, be it ML, heuristic methods, or fixing code bugs. It is important to understand the specifics of the product and approach work responsibly.

More about ML at Yandex — in the channel Yandex for ML

We expect you to

• Have strong algorithmic preparation
• Be proficient in the classic ML development stack: Python (scikit-learn, XGBoost or CatBoost, pandas, Seaborn, Matplotlib, etc.), SQL
• Understand how to properly collect data for an ML task
• Be able to work with large volumes of data and understand the MapReduce paradigm
• Understand how DWH works and data processing pipelines in production

Will be a plus

• Have experience in NLP and LLM
• Know C++ or have developed in it
• Have high results in ML competitions, publications, patents, or open-source projects