Machine Learning Engineer 5 - Decisioning & Optimization

This role is based in New York, New York, with additional locations in Seattle, Washington.

Compensation:

$466,000 - $750,000/year

Responsibilities:

• Build and operate end-to-end ML model serving infrastructure for real-time ad decisioning.
• Scale the inference path to support multiple concurrent models at high QPS.
• Design and optimize feature serving paths with low fetch latency.
• Productionize scoring and ranking models for ad selection.
• Monitor model performance in production.
• Collaborate with Data Science & Platform teams.
• Drive operational excellence for ML systems.

Requirements:

• 7+ years of software engineering experience; 3+ years in ML infrastructure.
• Experience with real-time model serving systems.
• Proficiency in Java, Python, or Scala.
• Hands-on with ML serving frameworks.
• Strong understanding of model monitoring in production.

Tech stack:

Java, Python, Scala, ML serving frameworks.