Sr Applied Scientist, Amazon Shipping

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap

I korthet

As a Sr Applied Scientist at Amazon Shipping, you will lead ML teams in developing large-scale forecasting and optimization systems for Amazon's global transportation network. Your role involves defining scientific direction, mentoring scientists, and partnering with engineering and product leaders to deliver scalable ML solutions. The work directly impacts customer experience, cost optimization, and network reliability.

Ansvarsområden

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, guide 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.

Krav

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

Önskade kvalifikationer

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.

Förmåner

Inclusive culture that empowers Amazonians to deliver the best results for our customers.
Workplace accommodation or adjustment during the application and hiring process for individuals with disabilities.

Färdigheter

PythonJavaC++machine learningdeep learningLSTMstransformersLLMsreinforcement learningRscikit-learnSpark MLLibMxNetTensorflownumpyscipyHadoopSpark

#Machine Learning#Forecasting#Optimization#Transportation#Deep Learning#LLM

Om Amazon

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