Machine Learning Engineer

hace 10 horas


Barcelona, Barcelona, España Haloalaunuiakea Early Learning Cent A tiempo completo
Unlock the Future of Transportation with Haloalaunuiakea Early Learning Cent

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

About the Role

As a Machine Learning Scientist, you will be responsible for designing and implementing machine learning models that drive business decisions and improve customer experience. You will work closely with our team of experts to develop and deploy scalable algorithms and models that optimize our transportation systems.

Key Responsibilities
  • Design and implement machine learning models for business applications
  • Develop and deploy scalable algorithms and models for transportation systems
  • Collaborate with cross-functional teams to integrate machine learning solutions into our transportation network
  • Conduct research and development of new machine learning techniques and algorithms
  • Stay up-to-date with industry trends and advancements in machine learning
Requirements

We are looking for a highly skilled Machine Learning Scientist with a strong academic background in machine learning, time series forecasting, and/or optimization. You should have experience in building models for business applications, as well as experience in patents or publications at top-tier peer-reviewed conferences or journals.

Additionally, you should have experience programming in Java, C++, Python, or related languages, as well as experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about machine learning and transportation systems, and have a strong academic background and relevant experience, we encourage you to apply.



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