Applied Scientist II, Amazon Shipping

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Software Engineering

In short

Amazon Shipping is seeking an Applied Scientist II to lead ML teams in developing large-scale forecasting and optimization systems that impact global transportation. This role involves setting scientific direction, mentoring scientists, and partnering with engineering and product leaders to deliver production-grade ML solutions at scale. A PhD or Master's degree with relevant experience in CS, CE, or ML is required.

Responsibilities

Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution.
Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
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.
Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
Contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
Review model performance and business metrics, guiding technical design and experimentation.
Mentor scientists and drive roadmap execution.
Balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable.
Improve delivery reliability, reduce costs, and enhance customer experience at massive scale.

Requirements

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Desired Qualifications

Experience using Unix/Linux
Experience in professional software development

Benefits

Inclusive culture empowers Amazonians to deliver the best results for our customers.
Workplace accommodations and adjustments during the application and hiring process are available for individuals with disabilities.

Skills

PythonJavaC++machine learningdeep learningLLMsreinforcement learningdata miningalgorithmsdata structuresnumerical optimizationparallel and distributed computinghigh-performance computing

#ML#forecasting#optimization#transportation#supply chain#logistics#Indian Institute of Technology

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