Amazon Senior Applied Scientist EU ATS Science Tech - Optimization 

United Kingdom, England, London 

258918946

Key job responsibilities
Solve complex optimization and machine learning problems using scalable algorithmic techniques.Lead complex time-bound, long-term as well as ad-hoc analyses to assist decision making.
A day in the life
You will be brainstorming algorithmic approaches with team-mates to solve challenging problems for Amazon logistics operations.You will be developing and testing prototype solutions with above algorithmic techniques.You will be scavenging information from the sea of Amazon data to improve these solutions.You will be meeting with other scientists, engineers, stakeholders and customers to enhance the solutions and get them adopted.
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 code our prototypes to be production-readyWe prefer provably optimal solutions than heuristics, though we settle for heuristics when performance dictates it. Overall, we appreciate the value of correct modeling.

- Master's degree
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research

- 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.