Machine Learning Researcher

Join to apply for the Machine Learning Researcher role at Belvedere Trading, LLC Belvedere Trading is a leading proprietary trading firm headquartered in downtown Chicago, with a satellite office in Boulder, Colorado. Our teams provide market liquidity through market-making activities, combining expertise in commodities, interest rates, ETFs, and equity index options with advanced technology. We continually develop and optimize our trading models and software to stay competitive, working closely with our technology team to enhance our proprietary solutions. High-performance proprietary development fuels our success and competitive edge. We value intellectual curiosity and aim to innovate how trading is conducted in this technological era, focusing on developing high-performance trading software through a team-based approach. We seek passionate team members whose contributions are vital to our ongoing success. This role involves developing and refining self-adaptive, feedback-driven models that learn from and adapt to rapidly changing environments, potentially replacing or augmenting human decision-making. You will collaborate with researchers and engineers on cutting-edge ML applications in a high-impact domain. If you thrive in a fast-paced environment and enjoy solving complex challenges, we want to hear from you. What You'll Do Research and develop machine learning models for real-time, feedback-based systems. Manage marketplace uncertainty to balance risk and reward in trades. Design and test adaptive algorithms that evolve with incoming data and market regimes. Create models that simulate or replace human decision-making in complex, uncertain systems. Apply control theory principles to enhance model stability, responsiveness, and robustness. Work with engineers to deploy research into production environments with real-time constraints. Iterate and improve models based on system performance and market dynamics. Communicate findings and methodologies clearly to researchers, engineers, and stakeholders. Establish best practices for machine learning within the quantitative team. What You'll Need Ph.D. in Computer Science, Engineering, Applied Mathematics, or related quantitative field. 5+ years of experience applying machine learning to feedback-loop systems, robotics, autonomous decision-making, or control systems. Experience dealing with uncertainty in problem statements. Strong knowledge of ML algorithms, especially reinforcement learning, online learning, or adaptive control, with practical deployment experience. Proficiency in Python and experience with ML libraries like PyTorch, TensorFlow, or JAX. Strong analytical skills and experience with systems-level problems. Ability to collaborate with Data Engineers to build robust data pipelines. Financial market knowledge is a plus but not required. Team-oriented mindset, motivated by a fast-paced, iterative environment. Availability to work in a hybrid setup from Chicago or Boulder offices. Salary range: $140,000 - $240,000 annually. Additional benefits include discretionary bonuses and various perks listed on our website. Employment may require compliance certifications during onboarding or employment. We encourage applicants from underrepresented groups to apply, even if they do not meet 100% of the qualifications. We value diverse experiences and perspectives. Core Values Our culture is built on Team Belvedere, Me in Team, Own It, Iterative Innovation, and Passionate Discourse . We embody these daily. Our Stance Belvedere is an Equal Opportunity Employer committed to diversity and inclusion. We prohibit discrimination based on race, color, religion, sex, national origin, disability, age, military, and veteran status. We promote a respectful, dignified, and inclusive work environment. Work Location This position is based in Chicago, IL, or Boulder, CO, with a hybrid work structure requiring at least three days in the office. #J-18808-Ljbffr