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О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ" ИНН: 9704271170
описание
Complete the screening questions. Complete an approximately 20-minute AI interview. Complete a technical assessment if your GitHub profile does not sufficiently demonstrate the required expertise. Important: Complete interviews and assessments independently, without AI assistants or help from others.
The opportunity focuses on creating realistic coding challenges and reproducible reinforcement learning environments to train next-generation AI systems.
задачи
Create coding tasks based on realistic software engineering scenarios
Build reproducible reinforcement learning environments with golden reference solutions
Develop deterministic verifiers that accept valid solutions and reject incorrect ones
Debug software defects and optimize performance across codebases
Implement scalable, maintainable features and refactor legacy code
Contribute code samples and technical insights using Python, Java, Rust, Go, C++, or TypeScript
Document technical reasoning and solution approaches
Review and validate code contributions for accuracy and quality
требования
Strong software engineering experience in at least one relevant language: Python, Java, Rust, Go, C++, or TypeScript
Experience building scalable services and APIs
Strong understanding of algorithms, data structures, and core computer science concepts
Proficiency in debugging, automated testing, and performance optimization
Experience with code review, bug fixing, and feature implementation
Clear technical communication and problem-solving skills
An open-source contribution history and a profile showcasing your work, or willingness to complete a HackerRank assessment
Будет плюсом: Experience refactoring large codebases and modernizing legacy systems, proven ability to resolve complex bugs and system bottlenecks, experience delivering high-impact features in cross-functional projects, strong technical documentation skills, interest in AI and its technical challenges