Turing
TurnKey Tech Staffing
TurnKey Tech Staffing
TurnKey Tech Staffing
Turing
Turing
Turing
Turnkey Tech Staffing
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A leading AI company is seeking a Data Scientist to develop high-performance Python systems for large-scale AI pipelines. The role requires 4+ years of experience in Python, along with expertise in machine learning. Candidates should have a strong background in competitive programming with proven success on platforms like LeetCode. This is a remote position allowing for high autonomy and ownership. Commitment of at least 20 hours per week over a duration of three months is required.
About Turing: 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.