Applied Scientist I, Amazon Shipping
Amazon Web Services (AWS)Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand but specialized ML role and publication expectations balance applicant density.
High because specialized applied ML, forecasting, and RL/LLM expertise are required and less transferable.
High due to required production ML skills, programming, SQL, and publication/algorithm expectations.
Job Description
Structured overview of role & requirementsAbout This Role
Design and build large-scale forecasting and optimization systems impacting Amazon’s transportation network, customer experience, and costs.
Develop and ensure production-readiness, scalability, and robustness of machine learning models using techniques like tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
Own end-to-end business metrics with collaboration across Product, Operations, and Engineering to enable proactive decision-making and corrective actions.
Minimum Requirements
Proficient programming experience in Java, C++, Python, or related languages.
Experience with SQL and relational database management systems (e.g., Oracle) or Data Warehouse.
Work Experience Required: Not explicitly mentioned in the JD.
No explicit mention of notice period or location requirements.
Ideal Candidate Profile
Comfortable working with diverse ML techniques including tree-based models, deep learning architectures, LLMs, and reinforcement learning.
Experience operating at the intersection of machine learning, product, and operations to influence business metrics and network reliability.
Has demonstrated ability to produce publishable ML research or contribute to the broader research community.