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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 helps customers in two ways: working with 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 seeking PhD-level Mathematicians to join a frontier AI R&D team focused on creating high-quality [problem, solution] data targeting known failure patterns in current top language models. You will work directly with the founders to craft mathematical tasks that reflect deep conceptual challenges—comparable to FrontierMath or IMO-level problem-solving. Prior experience with competitive math (IMO coaching, problem-setting, or winning) is a plus but not required; we’re open to developing strong PhD talent into this space.
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 and multimodal support (equations, visuals, graphs, simulations).
- Collaborate with founders to align problem types with model evaluation goals, especially in areas where models often struggle (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 or review work from other math contributors or junior team members.
What We’re Looking For:
- PhD in Mathematics or a closely related field.
- Strong problem-solving skills—comfortable designing and solving non-standard problems.
- Excellent communication and writing skills, especially in explaining mathematical reasoning step-by-step.
- Familiarity with LaTeX and math visualization tools (Desmos, GeoGebra, Python/Matplotlib, etc.).
- Nice-to-have: Olympiad-level experience (contestant, coach, or problem-setter).
- Exposure to AI/LLM research, particularly in evaluation or reasoning tasks.
- Reliable technical setup: desktop/laptop with internet 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 work on cutting-edge AI projects with leading LLM companies.
Note: Shortlisted candidates may need to complete an assessment as part of the selection process.
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