💰 $145K–$230K salary range
Median: $177K · Based on 1,235 public job postings · Updated April 19, 2026
Building, optimizing, and deploying the core machine learning models and infrastructure for cutting-edge AI-native products is the primary focus of this engineering function. Professionals in this space command a salary range of $145K–$230K, with a median of $177K, based on an analysis of 1,235 recent job postings. Top compensation is often awarded to candidates demonstrating advanced proficiency in MLOps practices, expertise with leading deep learning frameworks like PyTorch or TensorFlow, and proven experience in developing scalable data pipelines. This role demands a strong understanding of both software engineering principles and machine learning fundamentals, ensuring robust and efficient AI system development. Success hinges on a capacity for innovation and the ability to translate research into production-ready solutions.
