Production ML Researcher: Financial Markets & Low Latency

Thurn Partners Ltd; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Thurn Partners Ltd in New York (US) seeks a senior ML researcher to join its post-training research team. You will fine-tune large models for financial markets, align them for domain tasks, and push results to production with engineering and trading teams.

Applicants should have production-quality Python and C++, GPU proficiency, and hands-on post-training ML experience, with US work eligibility.

Qualifications

• Industry experience in ML roles with hands-on post-training work.
• Production-quality Python and C++.
• GPU knowledge beyond the API: memory hierarchy and occupancy.
• 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++

GPU programming

Post-training ML

Latency optimization

Education

Bachelor's degree in a quantitative field

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

Tools

CUDA

Triton

Nsight

NCCL

pybind11

DeepSpeed

Megatron

FSDP

Job description

Thurn Partners Ltd in New York (US) seeks a senior ML researcher to join its post-training research team. You will fine-tune large models for financial markets, align them for domain tasks, and push results to production with engineering and trading teams.

Applicants should have production-quality Python and C++, GPU proficiency, and hands-on post-training ML experience, with US work eligibility.