IEOR - Designing a More Efficient World

Algorithm Engineer Intern, Operations Research and Optimization at Alibaba Group

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Employer: Alibaba Group

Expires: 05/31/2020

Optimization and data-driven operations research are ubiquitous in Alibaba Group’s businesses. We invite applications for internship and full-time positions at all levels to conduct research in broad areas of optimization and OR. Working at Alibaba will gives you opportunities to observe how cutting-edge technologies are driving multiple modern business and make your unique contributions.Responsibilities:Candidates will be expected to work in one of the following areas:- Scientific and computational research in optimization and machine learning in one or multiple following areas: linear optimization, mixed-integer optimization, black-box optimization, high-performance numerical routines, parallel computing, large problem decomposition, learning-to-optimize, and optimal control.- Effective applications of optimization with machine learning to real-world problems in e-commerce, logistics, and computing resource scheduling.- Joining the development of industry-level solutions of big-data analyses and modeling. Using technology to expand current business boundaries.Minimum Qualifications:1. Bachelor’s degree or above. Master’s or Ph.D. degrees (in process) are preferred. Major in Operations Research, Computer Science/Engineering, Mathematics, Statistics, Economics, or related STEM field.2. Research experience of 1 or more years. Peer-reviewed publications or strong recommendations are preferred.3. Strong analysis and mathematical modeling skills.5. Ability to obtain a work (internship) permit in the country of internship.Meanwhile, we hope you:1. Strong learning capacity, an inquiring mind, and outstanding adaptability;2. Proven ability to work collaboratively with diverse groups towards a common goal;3. Highly passionate about your field of expertise. Capable of critical thinking and self-reflection;4. Stay positive and believe there are always more solutions than difficulties;