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About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing assists customers by collaborating with leading AI labs to push the boundaries of model capabilities in areas such as reasoning, coding, multimodality, multilinguality, STEM, and frontier knowledge. We leverage this work to develop real-world AI systems that address mission-critical challenges for companies.
Role Overview: We are seeking PhD-level Mathematicians to join our frontier AI R&D team. Your focus will be on creating high-quality [problem, solution] data targeting known failure patterns in current top language models. You will work directly with the founders to develop mathematical tasks that pose deep conceptual challenges, similar to those in FrontierMath or IMO-level problem-solving. Experience with competitive math (IMO coaching/problem-setting/winning) is a plus but not required; we are open to developing strong PhD talent in this area.
What You’ll Do:
- Design and solve challenging math problems that reveal weaknesses in large language models.
- Create detailed, step-by-step solutions with clear reasoning, including multimodal support such as equations, visuals, graphs, and simulations.
- Collaborate with founders to align problem types with model evaluation goals, especially in areas where models often fail (e.g., abstraction, multi-step reasoning, symbolic manipulation).
- Help define new evaluation benchmarks inspired by high-school olympiad math, early undergraduate curriculum, and theoretical mathematics.
- Mentor, coach, or review work from other math contributors or junior team members.
What We’re Looking For:
- PhD in Mathematics or a related field.
- Strong problem-solving skills, with the ability to design and solve non-standard problems.
- Excellent communication and writing skills, particularly in explaining mathematical reasoning step-by-step.
- Familiarity with LaTeX and math visualization tools such as Desmos, GeoGebra, Python/Matplotlib, etc.
- Nice-to-have: experience with Olympiad-level competitions (as a contestant, coach, or problem-setter).
- Exposure to AI/LLM research, especially in evaluation or reasoning tasks.
- Technical setup: Reliable desktop/laptop with internet access and necessary software for computations, visual content, simulations, and collaboration.
- Ability to work collaboratively with other math enthusiasts.
- Flexible working hours and remote work environment.
- Opportunity to engage in cutting-edge AI projects with leading LLM companies.
Note: Shortlisted candidates may be asked to complete an assessment during the selection process.