Job Description

As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems.

Responsibilities

• Drive end-to-end development of AI infrastructure and AI driven applications
• Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning
• Implement automated systems for continuous training, validation, and monitoring of models
• Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools
• Create and maintain feature pipelines, feature stores, and model stores
• Develop frameworks to enable scalable, reproducible research
• Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage

Requirements

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• 3+ years of experience working with machine learning and artificial intelligence technology
• Strong understanding of core machine learning and artificial intelligence concepts
• Excellent programming skills in Python
• Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models
• Hands-on experience with MLOps and AIOps infrastructure and tooling
• Proficient in problem-solving and analytical reasoning
• Exceptional communication and collaboration skills
• Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX
• Experience with Large Language Models, including RAG and fine-tuning techniques
• Familiarity with compute infrastructure necessary to support operating AI and ML technology

Benefits

• No benefits