Hiring: Quantitative Software Engineer: Generative AI Company: Two Sigma Location: New York, United States Job Posted Time: 2026-09-03 11:07:26 Employment Type: Hybrid Target Skills & Keywords : AI, Data Pipeline, Deep Learning, LLM, Machine Learning, NLP, PyTorch, Python, TensorFlow About the job Experience: •3-10 years of experience preferred developing and deploying machine learning solutions, preferably in the areas of NLP and LLMs •1 year of experience required; 3-10 years of experience preferred developing and deploying machine learning solutions, preferably in the areas of NLP and LLMs •Minimum 1 year of experience required; 3-10 years of experience preferred developing and deploying machine learning solutions, preferably in the areas of NLP and LLMs 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. •The News Engineering Team Is Looking For a Machine Learning Engineer With a Strong Background In NLP And LLMs. Our Team’s Vision Is To Collect, Organize, And Monetize The World’s Unstructured Data, Including News, Social Media, And Regulatory Filings. To That End, We Develop •A platform for interactive research, backed by a one-petabyte corpus of unstructured data •A system for automatic signal mining, evaluating research hypotheses end-to-end •NLP and LLM services, using a variety of techniques across our research tools and production pipelines •Data pipelines, delivering millions of events to production systems every day •We work closely with our partners in Modeling, making this position a strong choice for anybody looking to leverage proven NLP and software engineering skills in an area close to the firm’s core business. •Take On The Following Responsibilities Qualifications: •BS in Computer Science, Machine Learning, or related technical field (advanced degrees and/or ML publications highly desired) 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!