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A leading AI company is seeking a Data Scientist in Brazil to work on high-performance Python systems for large-scale AI applications. The ideal candidate will have over 4 years of experience with Python and a strong background in machine learning and competitive programming. This fully remote role offers flexible commitment options, allowing for 20, 30, or 40 hours per week. Join a collaborative team that tackles real engineering challenges while advancing AI technologies.
Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
We're looking for a Data Scientist who has excellent hands-on Python skills and machine learning experience — someone who lives and breathes code, optimizes for performance, and has proven mastery on competitive programming or data challenge platforms like LeetCode, Codeforces, HackerRank, or Kaggle. In this role you will be working with Turing team members and AI researchers at Frontier Labs to devise techniques and build data sets to improve performance of models.
Technical Interview (60 mins): discussion of Python problem-solving, architecture, and system design.
After applying, you'll receive a login link by email. Please complete your profile promptly so we can proceed with your application.
We're actively hiring for this role. If you know exceptional talent, please refer them at turing.com / referrals and earn money for successful referrals.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.