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Applied Scientist (Machine Learning), yHat

Employer
UK Jan 2020 Placeholder 1
Location
UK
Salary
Competitive
Closing date
24 Jun 2022

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Sector
Technology & New Media
Contract Type
Permanent
Hours
Full Time
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Job summary
Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).

Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.

As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services and impact the future of the Amazon transportation network. Current research and areas of work within our team include machine learning forecast, online reinforcement learning, and anomaly detection models, among others.

We are looking for a Machine Learning Scientist with a strong academic background in the areas of machine learning, signal processing, statistics or optimisation. Experience with using RNNs for time series forecasting is a plus.

At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.
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