Postdoctoral Machine Learning Scientist at Amazon
Cambridge, United Kingdom
🇬🇧 (Posted Jun 3 2018)
About the company
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
Compensation: Competitive Salary, Amazon restricted stock units and benefits payments
Posting Date: 30th May 2018
Closing Date: 27th June 2018
Amazon is building a European Machine Learning Team in Cambridge and is seeking a Machine Learning Scientist to join the group!
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 and the Machine Learning Team is 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 a curious and creative machine learning scientist who is willing to collaborate with scientists and engineers to research and develop new machine learning methods.
The scientist will involve working on the development of innovative machine learning algorithms for the modeling and analysis of data. The candidate will be expected to work in research areas such as probabilistic modeling, scalable inference methods and latent variable models. Challenges may involve dealing with very large data sets and requirements on throughputs.
Skills & requirements
· Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline (e.g. physics, maths, engineering).
· PhD in machine learning
· Recent record of publication in internationally-leading machine learning venues (e.g. ICML, AISTATS, UAI, JMLR, TPAMI).
· Experience in Python.
· Good communication skills and the ability of working in a team.
· Hands on experience in predictive modelling and analysis
· Expert in approximate inference for Deep Gaussian Processes
· Ability to convey rigorous mathematical concepts and considerations to non-experts.
· Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives.
· Strong software development skills.
Instructions how to apply
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