Senior Engineering Manager, ML Platform

What this role involves

Sift is hiring a Senior Engineering Manager to lead the Machine Learning team, responsible for training pipelines, feature infrastructure, and evaluation systems. The role involves managing a team of ML platform engineers and data scientists, staying technical, and driving customer engagements. The position is hybrid in San Francisco or Seattle, requiring 8+ years of engineering experience including 4+ years in management.

Skills this posting asks for

• gcp
• aws
• spark
• kafka
• kubernetes
• docker
• databricks
• python
• machine learning
• model training pipelines
• feature engineering
• model serving
• evaluation frameworks

Requirements

• 8 years of experience
• Level: senior
• Remote policy: hybrid

From the employer’s posting

Location: San Francisco, California or Seattle, Washington Employment Type: Full time, Hybrid ABOUT THE TEAM The Machine Learning team — internally known as "Potato Radius" — builds the training pipelines, feature infrastructure, and evaluation systems behind every score Sift returns, acros…