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.
Role Overview:
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.
What You'll Do:
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.
Required Qualifications:
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.
Bonus:
Recognized performance in
Kaggle
,
Codeforces
, or
ICPC/TopCoder
contests.
Deep curiosity for performance tuning, scalability, and elegant code design.
Perks of Freelancing with Turing:
Work fully remotely, from anywhere.
Collaborate with
world-class AI labs
and
frontier research companies
.
Tackle real engineering challenges with high autonomy and ownership.
Offer Details:
Commitment:
Minimum 20 hours/week with 4-hour PST overlap (options: 20, 30, or 40 hrs/week).
Type:
Contractor (no medical/paid leave).
Duration:
3 months (start date: next week).
Evaluation Process:
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.