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Responsibilities
- 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
- Competitive compensation above the market with bonuses twice a year up to 50% of annual salary;
- Sophisticated internal training and development programs;
- Comprehensive health insurance;
- Reimbursement for sports activities;
- Engaging in corporate events twice a year;
- High level of influence and ownership of the process;
- Work closely with experienced team in a flat organizational structure
Key Skills
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