Machines Learning Engineer, Amazon Europe Transportation Optimization

il y a 4 jours


Luxembourg City Amazon Europe Temps plein

Are you a machine learning expert looking for a challenging role in optimizing transportation systems? Amazon's EU ATS Science and Technology team owns scalable algorithms, models, and systems that improve customer experience in middle-mile. We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable, and ecologically sustainable.

We're seeking an Applied Scientist with strong academic background in machine learning, time series forecasting, and/or optimization. You will focus on developing and researching machine learning solutions and algorithms for core planning systems as well as other applications within Amazon Transportation Services.

BASIC QUALIFICATIONS

  • PhD, or Master's degree and experience in CS, CE, ML or related field
  • Experience in building models for business applications
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

  • Experience using Unix/Linux
  • Experience in professional software development

Estimated salary: €80,000 - €110,000 per year depending on location and experience.

About the role: As part of our team, you will have the opportunity to impact the future of Amazon's delivery network by developing innovative machine learning solutions. You will work closely with cross-functional teams to design, develop, and deploy scalable and efficient algorithms.

Benefits: At Amazon, we offer a dynamic and supportive work environment, competitive salaries, and benefits, including stock options, comprehensive health insurance, and retirement plans. We also provide opportunities for career growth and professional development.



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