Machine Learning Scientist

hace 1 mes


Barcelona, Barcelona, España Mygwork A tiempo completo

About the Role

We are seeking a highly skilled Machine Learning Scientist to join our team at Amazon Transportation Services. As a key member of our team, you will be responsible for developing and researching machine learning solutions and algorithms for core planning systems, as well as other applications within our transportation network.

About the Team

The EU ATS Science and Technology team is responsible for creating scalable algorithms, models, and systems that improve customer experience in middle-mile transportation. We work backwards from Amazon's customers 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
  • Collaborate with cross-functional teams to integrate machine learning models into our transportation systems
  • Design and implement experiments to evaluate the performance of machine learning models
  • Communicate complex technical ideas to both technical and non-technical stakeholders

Requirements

  • 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing

Preferred Qualifications

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

About Mygwork

Mygwork is an inclusive employer and a member of the LGBTQ+ business community. We strive to create a workplace that is welcoming and inclusive for all employees, regardless of their background or identity.



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