Mathematician jobs in new york state USA
7 mathematician jobs found in new york state: showing 1 - 7
Government Quantitative Analyst For Ai Model Evaluation
Company: unknown |
such as Mathematician or Data Scientist. Relevant real-world responsibilities may include conducting mathematical research and modelLocation: New York City, NY, USA
| Salary: unspecified | Date posted: 28 Jul 2026
Remote
Company: 24-MAG |
researcher, or industry research mathematician An active research record in mathematics or a closely related quantitative field... mathematical work at the level of a practising research mathematician Strong proof-writing, analytical reasoning, and technicalLocation: New York City, NY, USA
| Salary: unspecified | Date posted: 20 Jul 2026
Olympiad Mathematician - Fully Remote
Company: Mercor |
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam Location: New York City, NY, USA
| Salary: unspecified | Date posted: 30 Jun 2026
Mathematics Researcher - Ai Systems
Company: Mercor |
mathematician. Preferred NSF CAREER or other grants as a named PI or co-PI. Outstanding senior PhD students and recentLocation: New York City, NY, USA
| Salary: unspecified | Date posted: 30 Jun 2026
Mathematician For Ai Model Training
Company: unknown |
Join a cutting-edge AI training project as a Math Expert (PhD), where your expertise will directly influence the development of next-generation AI systems. This role offers a unique opportunity to appLocation: New York City, NY, USA
| Salary: unspecified | Date posted: 24 Jun 2026
Mathematics Expert - Fully Remote
Company: Mercor |
mathematician. Preferred NSF CAREER or other grants as a named PI or co-PI. Outstanding senior PhD students and recentLocation: New York City, NY, USA
| Salary: unspecified | Date posted: 19 Jun 2026
Applied Mathematician — Electronic Trading & Quantitative Finance
Company: Morgan Stanley |
We are a small, team of researchers and developers. We build algorithms for trading stocks, bonds, and derivatives at Morgan Stanley. Our work sits at the intersection of stochastic control, statistic