Production ML Researcher for Finance - Low-Latency AI

Thurn Partners Ltd; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

Thurn Partners Ltd in New York seeks a post-training ML researcher to adapt large pretrained models for financial markets, handling noisy data and distributions that shift daily while meeting tight latency budgets.

You will work with production teams to deploy models, evaluate against real market outcomes, and optimize GPU performance with C++/Python, CUDA and bespoke kernels for low-latency inference.

Qualifications

• Degree in quantitative field with GPA ≥ 3.5/4.0
• Industry ML experience with hands-on post-training work
• Production-quality Python and C++
• GPU knowledge of memory hierarchy and how to diagnose a slow kernel
• Eligibility to work in the US

Responsibilities

• Fine-tune, distil and align large models for domain-specific tasks
• Build evaluation that measures what matters, not what is easy to measure
• Quantize, prune and optimize inference where latency carries a direct cost
• Write and profile custom GPU kernels when standard ops become the bottleneck
• Take research into production with engineering and trading teams

Skills

ML experience

Leadership experience

Education

Bachelor's degree in quantitative field (GPA ≥ 3.5/4.0)

Master's or PhD in ML/CS/Math/Stats/Physics

Tools

Python

C++

CUDA

Triton

Nsight

NCCL

Job description

Thurn Partners Ltd in New York seeks a post-training ML researcher to adapt large pretrained models for financial markets, handling noisy data and distributions that shift daily while meeting tight latency budgets.

You will work with production teams to deploy models, evaluate against real market outcomes, and optimize GPU performance with C++/Python, CUDA and bespoke kernels for low-latency inference.