Production ML Researcher: Latency-Sensitive Finance Models

Thurn Partners Ltd; Miami (FL); On-site; USD 150,000 - 230,000; Full time

Job summary

Thurn Partners Ltd in Miami is building out post-training research to adapt large pretrained models for financial markets, focusing on noisy data, shifting distributions, and tight latency budgets.

You will join a small team delivering production-ready ML solutions that directly impact trading decisions and profitability, working closely with engineers and traders in a fast-paced environment.

Qualifications

• Degree in a quantitative field with GPA ≥ 3.5/4.0
• Industry experience in ML roles with post-training work
• Production-quality Python and C++
• GPU knowledge beyond the API, including memory hierarchy and kernel diagnosis
• 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

Python

C++

Post-training ML

Production-grade software

GPU kernel profiling

Education

Bachelor's degree in a quantitative field

PhD or Master's preferred

Tools

CUDA

Triton

Nsight

NCCL

pybind11

FSDP

DeepSpeed

Megatron

Job description

Thurn Partners Ltd in Miami is building out post-training research to adapt large pretrained models for financial markets, focusing on noisy data, shifting distributions, and tight latency budgets.

You will join a small team delivering production-ready ML solutions that directly impact trading decisions and profitability, working closely with engineers and traders in a fast-paced environment.