Staff Machine Learning Engineer, Fulfillment Planning

What you'll do

• Design, develop, and deploy large-scale production ML systems for real-time delivery assignment and fulfillment estimation.
• Lead 0→1 ML initiatives to define how machine learning and optimization are applied across fulfillment products.
• Influence the architecture, strategy, and execution of Tier-0 logistics services critical to the platform.
• Establish best practices for model development, deployment, monitoring, retraining, and governance.
• Define and lead the technical vision for an LLM-inspired foundation model for logistics intelligence.
• Mentor other engineers and raise the technical bar for logistics ML across the organization.

What we're looking for

• You have 8+ years of industry experience building and deploying production-scale machine learning systems.
• You have strong machine learning fundamentals and know how to apply them to large-scale production systems.
• You are fluent in Python.
• You have hands-on experience with modern ML frameworks, especially deep learning frameworks.
• You have designed, launched, and operated mission-critical ML models in production, including monitoring, retraining, reliability, and governance.
• You can lead complex technical projects end to end and influence stakeholders across multiple teams or organizations.
• You have built or shipped large-scale ML models for recommendation, ads, marketplace, logistics, or other domains.
• You have experience with knowledge distillation from large teacher models into efficient production models.