Hiring: Post-Training Research Scientist Company: Two Sigma Location: New York, United States Job Posted Time: 2026-09-03 11:07:25 Employment Type: Hybrid Target Skills & Keywords : AI, Fine-tuning, LLM, Node.js, PyTorch About the job Experience: •1-10 years of experience preferred (ideally 1-5 years) at a frontier AI lab (OpenAI, Anthropic, DeepMind, Meta FAIR, or equivalent) •1 year of experience required; 1-10 years of experience preferred (ideally 1-5 years) at a frontier AI lab (OpenAI, Anthropic, DeepMind, Meta FAIR, or equivalent) •Minimum 1 year of experience required; 1-10 years of experience preferred (ideally 1-5 years) at a frontier AI lab (OpenAI, Anthropic, DeepMind, Meta FAIR, or equivalent) 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. •We are applying large language models and transformer-based architectures to problems where ground truth is delayed, noisy, and non-stationary. Our systems generate code, run experiments, and iterate autonomously, and we are looking to go beyond supervised fine-tuning. •This hire will help own methodology across training, fine-tuning, context management, and model evaluation. You will shape not only the post-training capability but the broader research direction of the team. •Take On The Following Responsibilities •Lead post-training efforts for LLMs applied to financial time series and quantitative reasoning •Design and execute RLHF, DPO, and related alignment methods at scale, including deployment of substantial compute budgets (O($100mm)) •Build infrastructure for preference data collection, reward modeling, and policy optimization on financial datasets •Drive research agenda connecting post-training methods to quantitative finance applications 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!