Quantitative Software Engineer: Techniques Engineering
Core
Build scalable AI/ML modeling systems and infrastructure to translate research prototypes into production-ready code for quantitative investment strategies.
Role type
Senior IC quantitative software engineer (AI/ML infrastructure)
Builds
High-throughput GPU ML systems, data pipelines, and research enablement tooling for trading models
Domain
Quantitative finance + AI/ML infrastructure
Deliverable
production ML models
Required skills
Python, GPU optimization, CUDA, PyTorch, TensorFlow, Hugging Face, CI/CD, version control, testing frameworks, LLMs, agent frameworks
Preferred skills
RLHF, RLVR, policy optimization, synthetic data generation, agent evaluation frameworks
Technologies
CUDA, PyTorch, TensorFlow, Hugging Face
Responsibilities
Partner with ML researchers to translate modeling needs into engineering priorities; Design and optimize data loading and pipeline infrastructure for training and inference at scale; Extend core research libraries to support agentic workflows; Lead structural improvements to maintain codebase coherence and quality
Seniority
Senior, hands-on IC