Machine Learning Engineer
February 29
🏢 In-office - Manhattan
Description
• Developing libraries for automating ML workflows and experiment evaluation • Digging into the internals of open-source ML tools to extend capabilities and fix bugs • Optimizing systems for efficient training and low-latency inference • Building tools for training and evaluating models in parallel over large datasets and more
Requirements
• Accomplished and disciplined software engineers • Deep experience in machine learning techniques and software systems • Curiosity and wide-ranging understanding of the open-source ML ecosystem • Interest in the latest advances in ML in academic and industrial contexts
Benefits
• Opportunity to work on critical machine learning projects • Fast-paced and ever-changing trading environment for ML experimentation • Chance to drive the direction of an ML platform used daily by traders and researchers
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