Campus ML Research Engineer (Full-Time)

Jump Trading is seeking ML Research Engineers to build state-of-the-art machine learning systems for quantitative finance. You will optimize training pipelines, develop low-latency inference systems, and integrate ML models into production environments. This role offers the opportunity to work on impactful projects in a fast-paced, collaborative setting.

• Apply state-of-the-art techniques to complex domains
• Build flexible and reusable frameworks for financial ML
• Optimize training pipelines for HPC resources
• Integrate ML models into low-latency production systems
• Build large-scale, performant, and observable ML systems
• Proficiency in Python, C++, and DL libraries like PyTorch or TensorFlow