Applied Scientist II, Computational Modeling, OMHS SCS - Boston

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Join Amazon's newly formed fulfillment technology team as an Applied Scientist to design, develop, and deploy machine learning and scientific solutions at massive scale. You will tackle ambiguous business problems by applying computer vision, optimization, reinforcement learning, and physics-informed modeling to optimize global logistics operations. This role offers a ground-floor opportunity to shape scientific roadmaps, prototype edge-deployable models, and publish research findings.

• Design, develop, and deploy ML and scientific solutions including classical ML, statistical modeling, and computer vision.
• Frame ambiguous business problems into tractable scientific challenges and prototype end-to-end solutions.
• Prototype and evaluate sensing hardware and lightweight, edge-deployable models under real-world constraints.
• Collaborate across science and engineering teams to integrate solutions into deployment architecture.

• PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
• 1+ years of experience building machine learning models for business applications.
• Proficiency in programming languages such as Java, C++, or Python.