Quantitative Software Engineer: Techniques Engineering
Two Sigma - New York, United States
Hiring: Quantitative Software Engineer: Techniques Engineering Company: Two Sigma Location: New York, United States Job Posted Time: 2026-09-12 11:07:26 Employment Type: Hybrid Target Skills & Keywords : AI, CI/CD, Hugging Face, LLM, PyTorch, Python, REST, TensorFlow About the job Experience: •7-15 years of experience preferred •1 year of experience required; 7-15 years of experience preferred •Minimum 1 year of experience required; 7-15 years of experience preferred Required Skills: •Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. •Take On The Following Responsibilities •Partner with ML researchers to explore model architectures, training methodologies, LLM and agentic engineering, and experimental objectives, translating modeling needs into engineering priorities. •Translate prototypes into reusable, maintainable, production-ready code, ensuring research insights scale seamlessly into operation. •Design and optimize data loading and pipeline infrastructure for training and inference at scale, including GPU utilization, batching/bin-packing strategies, and other large-scale compute optimizations. •Extend core research libraries to support agentic workflows, integrating modern agent frameworks while maintaining a high quality bar for AI-assisted or AI-generated code and output. •Lead structural improvements to keep a growing, multi-contributor codebase coherent, testable, and maintainable as usage and team size scale, evolving internal libraries toward open-source-caliber engineering practices. •You Should Possess The Following Qualifications Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!