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Machine Learning Engineering Manager, Grocery Field AI - Inference

Amazon.com

$166,400 - $287,700
Aug 18, 2025
Boston, MA, US
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Amazon Worldwide Grocery Tech is seeking an exceptional Software Development Manager to lead their Edge ML Inference Systems team. This team is responsible for designing, developing, and operating high-performance machine learning inference systems that power real-time computer vision and AI applications across their grocery store locations.

Requirements

  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

Responsibilities

  • Lead a team of engineers developing high-performance ML inference systems for edge devices.
  • Drive architectural decisions for deploying and managing ML models across distributed edge locations.
  • Establish performance benchmarks and optimization strategies for ML inference.
  • Collaborate with AI/ML teams to enable efficient deployment of new models to production.
  • Define and implement strategies for model compression, quantization, and optimization.
  • Develop systems for remote monitoring, updating, and management of edge ML infrastructure.
  • Partner with hardware teams to optimize ML workloads for specific edge computing platforms.

Other

  • 3+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • Experience partnering with product or program management teams
  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers