pLead ML teams building large-scale forecasting and optimization systems that power Amazon’s global transportation network and directly impact customer experience and cost. As an Sr Applied Scientist, you will set scientific direction, mentor applied scientists, and partner with engineering and product leaders to deliver production-grade ML solutions at massive scale. /ph3Key job responsibilities /h3olliLead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development. /liliDefine and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution. /liliGuide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning. /liliEnsure 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. /liliOwn end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability. /liliHelp contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing. /li /olpYour 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. /ph3Basic Qualifications /h3ulli3+ years of building machine learning models for business application experience /liliPhD, or Master's degree and 6+ years of applied research experience /liliExperience programming in Java, C++, Python or related language /liliExperience with neural deep learning methods and machine learning /li /ulh3Preferred Qualifications /h3ulliExperience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. /liliExperience with large scale distributed systems such as Hadoop, Spark etc. /li /ulpOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /ppAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. /p #J-18808-Ljbffr

📌 Sr Applied Scientist, Amazon Shipping (Asti)
🏢 Amazon
📍 Asti