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A leading AI technology company is seeking a Data Scientist to develop and optimize high-performance Python systems. The role involves collaboration with cross-functional teams to deliver reliable components and staying current with modern tools and advancements in machine learning. Candidates should have 4+ years of experience in Python and strong proficiency in coding platforms. This position offers the opportunity to work remotely and tackle real engineering challenges with autonomy.
Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.
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.
Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines. Design and maintain modular, clean, and production-ready Python codebases. Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components. Write efficient, maintainable, and testable code with strong focus on algorithms and data structures. Stay current with modern Python tools, frameworks, ML advancements and best practices.
Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field. 4+ years of professional experience writing Python in production environments. Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, PyTorch, Transformers, or similar). Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions. Experience with system design, clean architecture, and performance optimization. Working level Proficiency in either Machine Learning or Data Science for Machine Learning.
Recognized performance in Kaggle, Codeforces, or ICPC / TopCoder contests. Deep curiosity for performance tuning, scalability, and elegant code design.
Work fully remotely, from anywhere. Collaborate with world-class AI labs and frontier research companies. Tackle real engineering challenges with high autonomy and ownership.
Commitment: Minimum 20 hours / week with 4-hour PST overlap (options : 20, 30, or 40 hrs / week).
Contractor (no medical / paid leave).
3 months (start date : next week).
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.