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Building large-scale forecasting and optimization systems that power Amazon's global transportation network and directly impact customer experience and cost.
Key job responsibilities
1. Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
2. Ensure models are production-ready, scalable, and robust through close partnership with stakeholders.
3. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
4 Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
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
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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Job ID: 148672201
Skills:
Java, Ml, Nlp, RDBMS, Data Warehouse, Oracle, Sql, Python, DL
Skills:
Cloud Services, Time Series, Decision Support, recommendations, anomaly detection, Forecasting
Skills:
Java, Ml, Nlp, RDBMS, Data Warehouse, Oracle, Sql, Python, DL
Skills:
causal inference , Java, Machine Learning, Data Mining, Deep Learning, Python, Computer Vision, High-Performance Computing, Statistics, Parallel and Distributed Computing, Algorithms and Data Structures, Numerical Optimization
Skills:
Hive, Spark, Redshift, Python, Sql
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