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Senior Machine Learning Scientist


Cambridge, United Kingdom


Amazon is building a European Machine Learning Team in Cambridge!

For Amazon, machine learning is a keystone technology to (1) recommend physical products (e.g. books and fashion) as well as digital (e.g. music and films) (2) recognize spoken language and answer questions through "Alexa", Amazon's digital assistant (3) translate reviews, (4) forecast demand for products and so much more.

The Cambridge site is already a key innovation hub for Amazon. The Machine Learning Team will be located alongside the Evi Team that develops Alexa's knowledge base, and a Prime Air Team, that is helping to develop Amazon's drone delivery system.

We are recruiting machine learning scientists for implementation and maintenance of machine learning algorithms. We seek creative researchers who: (1) are passionate about their work, (2) are prepared to learn new skills and (3) can collaborate closely with teams of engineers in implementing state of the art algorithms.

The job will involve developing and deploying machine learning algorithms for the modelling and analysis of data. Challenges involve very large data sets and design constraints that may arise from, for example, hardware implementation or latency requirements.

· Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline (e.g. physics, maths, engineering).
· PhD in machine learning, statistics or in another highly quantitative/analytical field
· Recent record of publication in internationally-leading machine learning or statistics venues (e.g. NIPS, ICML, AISTATS, UAI, JMLR, TPAMI, JASA, JRSS, Annals of Statistics).
· Experience in Python, Matlab or R
· Hands on experience in predictive modelling and analysis

· Experience of working across the academic and industrial sectors
· Hands on experience in software systems development
· Experience with one or more of C++, Java, Scala, C#


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