Job Information
Amazon Applied Scientist II (Maternity cover) in London, United Kingdom
Description
"Are you a MS or PhD student interested in the fields of Computer Science or Operational Research?
Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products?
If this describes you, come join our research teams at Amazon. "
Key job responsibilities
The candidate will be responsible for the design and implementation of optimization algorithms. The candidate will translate high-level business problems into mathematical ones. Then, they will design and implement optimization algorithms to solve them. The candidate will be responsible also for the analysis and design of KPIs and input data quality.
About the team
ATS stands for Amazon Transportation Service, we are the middle-mile planners: we carry the packages from the warehouses to the cities in a limited amount of time to enable the “Amazon experience”. As the core research team, we grow with ATS business to support decision making in an increasingly complex ecosystem of a data-driven supply chain and e-commerce giant.
We take pride in our algorithmic solutions:
We schedule more than 1 million trucks with Amazon shipments annually; our algorithms are key to reducing CO2 emissions, protecting sites from being overwhelmed during peak days, and ensuring a smile on Amazon’s customer lips.
We do not shy away from responsibility. Our mathematical algorithms provide confidence in leadership to invest in programs of several hundreds millions euros every year.
Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way.
We employ the most sophisticated tools:
We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization and approximation algorithms.
We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making.
We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work closely with Amazon scholars and experts from Academic institutions.
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 programming in Java, C++, Python or related language
Preferred Qualifications
Experience using Unix/Linux
Experience in professional software development
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