Building large-scale forecasting and optimization systems that power Amazon’s global transportation network and directly impact customer experience and cost.<br/><br/>Key job responsibilities<br/>1. Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.<br/>2. Ensure models are production-ready, scalable, and robust through close partnership with stakeholders. <br/>3. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.<br/>4 Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.<br/>5. Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
- Experience programming in Java, C++, Python or related language<br/>- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code<br/>- Have publications at top-tier peer-reviewed conferences or journals<br/><br/>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Source: Amazon careers — Read the original posting and apply
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