Amazon Senior Applied Scientist Network Design 

Luxembourg, Luxembourg 

490994654

• Amazing problem-solving abilities and technical curiosity.
• Commitment to high standards in code performance and inventiveness.
• Persistent ownership over research topics: you are proactive and bring your own ideas to the table.
• Excellent communication skills to engage with various stakeholders inside the company.
Key job responsibilities
• Use state-of-the-art optimization techniques from the scientific literature to develop optimization models that have a direct impact on the real-life transportation network.
• Explore pioneering modellings to solve the Amazon peculiar challenges, leveraging the access to data and computing power we have in house to bridge two seemingly separated fields: Operations Research and Machine Learning.
• Collaborate closely with various stakeholders to develop a deep understanding of the problem.
• Ensure your model can go to production by following high coding standards and seeking fast runtime.A day in the life
You will typically engage in a mix of activities like conducting experiments, reviewing scientific literature, analyzing data, developing algorithms and deploying them into production, collaborating with cross-functional teams, and often presenting findings. You will be involved in brainstorming sessions with your scientific peers, actively participate in code reviews and paper reviews. The day involves a blend of hands-on research, coding, meetings, data analysis, and contributions to publications.

• Interest and experience in Operations Research, and more specifically in discrete optimization, in fields such as Mixed-Integer Programming, Local Search and Constraint Programming.
• Experience with optimization solvers along with their implementation.
• Experience in Machine Learning and Deep Learning, not limited to the use of off-the-shelf solution, with the eagerness of developing your own models.
• Proven ability to code in a scripting language (Python/R...) for prototyping and a programming language (C/C++/Java...) for close to bare-metal performance.
• Strong knowledge in high coding standards: Git, CI/CD, unit testing, test-driven development

• Experience with stochastic and/or robust optimization.
• Experience in one of the following Machine Learning fields: Graph Neural Networks, Recurrent Neural Networks or Reinforcement Learning. Bonus point if these were used within an optimization context.
• Demonstrated ability to quickly learn new programming languages.
• Knowledge of transportation and logistics.