Machine Learning Engineer Jobs

The US market for Machine Learning Engineers encompasses 898 open roles nationwide, with a median midpoint salary of $195,000 reflecting robust demand across tech, automotive, and consulting sectors. This landscape highlights a surge in AI-driven innovation, as companies scale machine learning applications for everything from autonomous systems to content recommendation engines. Leading the hiring charge are Waymo and Zoox, each with 31 openings, signaling aggressive expansion in self-driving technology and robotics, while Booz Allen Hamilton follows with 20 roles, underscoring opportunities in defense and federal AI projects. These employers' activity points to a competitive yet opportunity-rich environment where expertise in neural networks and data pipelines commands premium positions. The deepest concentrations of openings cluster in key innovation hubs: San Francisco, CA, dominates as the epicenter for cutting-edge AI development; New York, NY, offers a blend of finance and media tech roles; and Seattle, WA, thrives on e-commerce and cloud computing integrations. Aspiring Machine Learning Engineers should prioritize customizing applications with quantifiable impacts from past projects, such as model accuracy improvements or deployment efficiencies, to align directly with these employers' needs and accelerate interview callbacks in this high-stakes field.