Java Programming, Machine learning techniques, Python Programming, SQL, Terabyte scale datasets
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.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Berlin, Germany
2-4 year
Rome, Metropolitan City of Rome, Italy
2-4 year
Arlington, VA, USA
2-4 year
Austin, TX, USA
2-4 year
Bellevue, WA, USA
2-4 year
California City, CA, USA
2-4 year
Newark, NJ, USA
2-4 year
Newark, NJ, USA
2-4 year
Palo Alto, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Sumner, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Mumbai, Maharashtra, India
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
Westborough, MA, USA
0-2 year
Arlington, TX, USA
2-4 year
Seattle, WA, USA
6-8 year
Sunnyvale, CA, USA
6-8 year
New York, NY, USA
6-8 year
Seattle, WA, USA
4-6 year
North Reading, MA, USA
4-6 year
Palo Alto, CA, USA
0-2 year
New York, NY, USA
0-2 year
Seattle, WA, USA
0-2 year
Arlington, VA, USA
0-2 year
New York, NY, USA
4-6 year
Arlington, VA, USA
4-6 year
Seattle, WA, USA
4-6 year
San Diego, CA, USA
4-6 year
Irvine, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Brisbane QLD, Australia
0-2 year
Adelaide SA, Australia
0-2 year
Canberra ACT, Australia
0-2 year
Toronto, ON, Canada
0-2 year
Vancouver, BC, Canada
4-6 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
San José Province, San José, Costa Rica
0-2 year
Palo Alto, CA, USA
0-2 year
Seattle, WA, USA
0-2 year