Applied Scientist I, Amazon Shipping
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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, Data Science, Machine Learning, Nlp, RDBMS, Python, Sql, Computer Vision, Deep Learning
Skills:
data curation , Deep Learning, Predictive Analytics, fine-tuning, model optimization techniques, statistical methodologies, model training, reinforcement learning, multimodal models
Skills:
Java, Data Warehouse, Sql, Deep Learning, RDBMS, Oracle, Python, LSTMs, Transformers, LLMs, reinforcement learning, tree-based models
Skills:
Java, RDBMS, Data Warehouse, Python, Sql
Skills:
Machine Learning, Natural Language Processing, Computer Vision, Automatic Speech Recognition, Statistical Modeling
