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Machine Learning Infrastructure Engineer
Machine Learning Infrastructure Engineer
WhatnotWhatnot is seeking a Machine Learning Infrastructure Engineer to design and scale the core infrastructure for AI and ML applications. This role involves working closely with machine learning scientists to bring cutting-edge models into production, focusing on building systems for low-latency, large model serving, distributed training, and high-throughput GPU inference. Candidates should have 4+ years of experience in developing ML systems, 3+ years in software engineering for consumer-scale loads, and proficiency in Python. The position requires owning infrastructure for critical business surfaces like growth and recommendations, and prototyping novel ML architectures to shape user experience.