Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development.
ML Research Expert — Published First Author (Benchmark Authoring)
Job description
Paid, remote work authoring and validating research-grade ML benchmark tasks. For Master's or PhD-level ML researchers with at least one first-author paper.
Domain: Machine Learning / AI Research
Requirements
- Experience: 1+ years of hands-on ML research; no upper limit
- Education: Master's or PhD (in progress is fine, including current PhD candidates)
The work
You will design and validate tasks that measure what frontier AI models can actually do across machine learning. We are looking for people who write ML code and publish results, not for annotation or data-labelling experience.
Task areas span: Language Models, Deep Learning, Reinforcement Learning, Vision & Generation, Robotics, ML Systems & Efficient ML, Optimization & Theory, Classical & Adaptive Learning, Time Series & Forecasting, Structured & Causal Reasoning, Trustworthy Learning, and AI for Science.
Application process
Candidates who meet the requirements and provide the requested materials will be prioritised for review. As part of this process we conduct thorough background checks. Please apply only if you meet these requirements.
Required qualifications
- At least one first-author research paper in machine learning or a closely related field
- Master's or PhD in ML, CS, statistics, mathematics or a related quantitative field, completed or in progress
- Hands-on experience writing ML code (training, evaluation or systems work), not annotation or data labelling
- Meets the experience and education bar described in Full Description
Why apply
- Work on frontier AI research problems in your area of deep expertise
- Fully remote, asynchronous and flexible, 5 to 40 hours a week
- Competitive hourly compensation ($150)
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