Applied Scientist on Artificial Intelligence and Optimization, EU LTP Science (OCTPS)

Amazon; Madrid; Presencial; EUR 110.000 - 145.000; Jornada completa

Descripción de la vacante

Amazon EU SARL (Spain Branch) in Madrid is seeking an Applied Scientist to advance end-to-end supply chain optimization. You will collaborate with software engineers, product managers and business teams to translate requirements into scalable AI solutions that integrate planning and execution across the fulfillment network.

The role emphasizes applying modern AI methods, including foundation models and deep learning, to improve forecasting, inventory placement, and automated decision making

Formación

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in building models for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in algorithms, data structures, optimization, data mining, parallel computing

Responsabilidades

• Solve complex optimization and machine learning problems for the supply chain
• Apply AI methods, including generative models, to improve forecasting and decision making
• Design and develop prototypes addressing real-world optimization problems
• Lead complex analyses to inform leadership decisions
• Communicate results to leadership on AI-driven strategies

Conocimientos

Optimization

Machine learning

Java

C++

Python

Educación

PhD or MS in CS/CE/ML or related field

Descripción del empleo

Description At Amazon, we are working to be the most customer-centric company on earth, where customers can find and discover anything they might want to buy online. Our Supply Chain organization spans the entire Amazon fulfillment network, from inventory placement and capacity planning through middle mile and last mile delivery. Our goal is to build a world class, end-to-end supply chain that exceeds the expectations of our customers by ensuring their orders are delivered as quickly, accurately, and cost effectively as possible.

We are now looking to hire a passionate, innovative and customer-obsessed candidate to support our end-to-end network planning and optimization across the Amazon supply chain. As an Applied Scientist, you will work with software engineers, product managers and business teams to understand the requirements and current challenges, distill that understanding to elegantly define the problem, and develop innovative solutions that integrate planning and execution across the entire fulfillment pipe. A central part of this mission is harnessing recent advances in Artificial Intelligence, including machine learning, large language models, and generative AI, to transform how we optimize the network and make decisions at scale.

Key job responsibilities

• Solve complex optimization and machine learning problems using scalable algorithmic techniques.
• Apply modern AI methods, including generative and foundation models, to improve optimization, forecasting, and automated decision making across the supply chain.
• Design and develop efficient research prototypes that address real-world problems across Amazon's end-to-end supply chain operations.
• Lead complex time-bound, long-term as well as ad-hoc analyses to assist decision making.
• Communicate to leadership results from business analysis, strategies and tactics, including how AI-driven approaches change the way decisions are made.

A day in the life

The role will own the approval from senior functional leaders to enable strategies that improve processes and performance across the supply chain. You will be a natural self-starter who is comfortable supporting complex cross functional projects and action plans. You will have a true hands-on approach, the ability to generate solutions, strong process management skills, and be an effective communicator.

Basic Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in building models for business application
• 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

Preferred Qualifications

• Detailed knowledge of optimization methods including linear and mixed-integer programming, network modeling, constraint programming, approximation algorithms, and advanced heuristic techniques.
• Expertise on MIP strategies to customize and leverage commercial solvers and adapt them as required.
• Detailed knowledge of forecasting techniques with time-series tools, including ARIMA models, exponential smoothing, LSTM, and CNNs.
• Expertise on policy optimization techniques, including reinforcement learning, deep Q-learning, bandits, and online optimization.
• Experience applying modern AI methods, such as large language models, generative AI, and foundation models, to optimization, forecasting, or automated decision-making problems.
• Experience integrating machine learning and optimization to drive planning and execution decisions across an end-to-end supply chain.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice https://www.amazon.jobs/en/privacy_page to know more about how we collect, use and transfer the personal data of our candidates.

Our 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company - Amazon EU SARL (Spain Branch)

Job ID: A10487011