Transportation Systems Machine Learning Expert
hace 1 mes
Are you passionate about building cutting-edge machine learning systems for the world's most complex and fastest-growing transportation network? Amazon has an exciting opportunity for a talented Machine Learning Scientist to join our team. We are revolutionizing the logistics industry by leveraging state-of-the-art technology to deliver packages faster and cheaper while providing world-class customer experience. Our software systems use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, integrating with a network of small and large carriers worldwide, managing business rules for millions of unique products, and improving the experience of hundreds of millions of online shoppers.
About the Team:
- We own 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.
Key Responsibilities:
- Develop and research machine learning solutions and algorithms for core planning systems and other applications within Amazon Transportation Services.
- Impact the future of the Amazon delivery network through innovative machine learning approaches.
What You'll Need:
- PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
- Experience in building models for business applications.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Proficiency in programming languages such as Java, C++, Python, or related languages.
- Experience in high-performance computing, parallel and distributed computing, and data mining.
- Unix/Linux experience.
- Professional software development experience.
Compensation: Estimated $140,000 - $200,000 per year based on location and experience.
Ambition meets opportunity. As a Machine Learning Scientist at Amazon, you will have the chance to shape the future of e-commerce and logistics. If you're passionate about solving complex problems and driving innovation, this is your chance to make history.
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