– Developing a library for executing task graphs on the cluster, with a focus on enhancing the user experience with writing, maintaining, and debugging these graphs;

– Improving the user experience in data analytics and dataset creation;

– Building datasets from the company’s data;

– Working on dataset creation speed, for example, by optimizing Pandas/Polars/Spark queries;

– Working closely with quantitative researchers to improve the realism of simulation and user experience;

– Building a library for working with the company’s data;

– Optimizing storage formats and data retrieval methods;

– Creating user-friendly interfaces for feature and target engineering;

– Automating the generation and updating of datasets with new features and data;

– Optimizing execution time;

– Supporting the Python simulator.

– At least 3 years of professional experience as a Python/C++/ML Engineer;

– Proficiency in Python;

– Experience in SQL/Spark/Pandas/Numpy;

– Strong expertise in databases, data pipelines, and service development;

– Experience contributing to projects with complex architecture;

– Linux expertise;

– Expertise in algorithms and data structures;

– Ability to work in a fast-paced environment and efficiently multi-task;

– Ability to communicate effectively within your team and with other teams.

– Experience in developing high load services;

– Experience in PyTorch/Jax;

– Competency in Go/C++;

– Understanding of operating systems, networks, and performance optimization;

– Any experience in competitive programming contests (IOI, ICPC, hashcode) or CTFs.