Sr Applied Scientist, Amazon Shipping

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Skills you'll use

What you'll do

• 1. Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
• 2. Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution.
• 3. Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
• 4. Ensure models are production-ready, scalable, and robust through close partnership with stakeholders. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
• 5. Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
• 6. Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
• A day in the life
• Your day includes reviewing model performance and business metrics, guiding technical design and experimentation, mentoring scientists, and driving roadmap execution. You’ll balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable. Ultimately, your work helps improve delivery reliability, reduce costs, and enhance the customer experience at massive scale.

Who can apply

• - 3+ years of building machine learning models for business application experience
• - PhD, or Master's degree and 6+ years of applied research experience
• - Experience programming in Java, C++, Python or related language
• - Experience with neural deep learning methods and machine learning

About Amazon

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