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Senior Machine Learning Engineer

hace 2 meses

Barcelona, Barcelona, España Amazon A tiempo completo
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Amazon. As an Applied Scientist II, you will play a key role in developing and implementing cutting-edge machine learning models that drive business growth and customer satisfaction.

Key Responsibilities
  • Design and develop innovative machine learning solutions that meet business requirements and drive customer engagement.
  • Collaborate with cross-functional teams to integrate machine learning models into our products and services.
  • Develop and maintain high-quality machine learning models that meet performance and scalability requirements.
  • Stay up-to-date with the latest advancements in machine learning and apply them to our products and services.
Requirements
  • PhD or Master's degree in Computer Science, Machine Learning, or related field.
  • 3+ years of experience in building and deploying machine learning models in a production environment.
  • Strong programming skills in languages such as Java, C++, or Python.
  • Experience with Unix/Linux and professional software development.
Preferred Qualifications
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience with algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
What We Offer

At Amazon, we offer a competitive compensation package that includes a base salary, equity, sign-on payments, and other forms of compensation. Our total compensation package is designed to reflect the cost of labor across several US geographic markets.

We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit this link.