If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate colleagues, this can be the role for you. Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from checkout on the website, to shipment planning, fulfillment and delivery. Our software systems include services that use 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 100 million online shoppers. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, an increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide; we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide. We leverage cutting edge technologies in big data, machine learning, real time analytics, and high volume, low latency, high availability services.
Amazon Transportation Services (ATS) is looking for an Applied Scientist to work on deep learning models that will directly impact how our transportation planning models function worldwide. The main focus of ATS is to account for all network constraints, while maximizing the number of shipments shipped, minimizing cost, providing a variety of delivery options, and maximizing delivery performance. You will help build new models and systems, and redefine the way whole operational units work, while using new technologies that improve usability and increase performance and scalability. You will have an opportunity to work with a wide range of teams and services across Amazon, and work alongside a core team of applied/data scientists, and software developers, working on optimization and machine learning models and applications.
If you are an experienced Applied Scientist who has a strong academic background, who has knack for understanding and solving real-world problems, who enjoys developing and deploying ML/DL models into production, who has experience in forecasting/predictive models, and who is interested in re-engineering and delivering new services to help fuel the explosive growth of ATS, then this is the job for you. If big data, cutting edge technologies, machine learning, automation, and building intelligent systems excite you, if you love to innovate and deliver results, and, if you are enthusiastic about working alongside other scientists and software developers, then we want you to be on our team.
Ideal candidate profile
· PhD in Computer Sciences, Mathematics, or Statistics with specialization in machine learning (alternatively, MSc. and 3+ years in scientist role).
· Broad knowledge of fundamentals and the state-of-the art in relevant areas of Machine Learning/Artificial Intelligence/Data Science
· 2+ years of hands-on experience in predictive modeling and analysis, and in deploying machine learning models in production.
· Knowledge of Software Development (data structures, algorithms, etc.).
· Strong coding skills in Python.
· Strong problem solving skills.