Senior Research Scientist, Amazon Q for Business Science

hace 2 semanas


Madrid, Madrid, España Amazon A tiempo completo

About the Role

We are seeking a Senior Research Scientist to join our Amazon Q for Business Science team. As a key member of our team, you will be responsible for pushing the envelope in various areas related to Deep Learning, Retrieval Augmented Generation, Natural Language Processing (NLP), and Text and Multimodal Search and Question Answering.

The ideal candidate will have a strong background in machine learning and NLP, with experience in building and deploying large-scale models. You will work closely with our team to design, implement, and improve the technologies at the foundation of Amazon Q for Business, including search and retrieval of textual, semi-structured data, structured data, and multimodal data.

Key Responsibilities

  • Design and implement large-scale machine learning models for business applications
  • Collaborate with the team to develop and deploy new technologies and features
  • Work with cross-functional teams to identify and prioritize research opportunities
  • Develop and maintain high-quality documentation and technical guides

Requirements

  • PhD or Master's degree in Computer Science, Electrical Engineering, or related field
  • 4+ years of experience in machine learning and NLP
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Strong programming skills in languages such as Java, C++, or Python

Preferred Qualifications

  • Experience with Unix/Linux
  • Experience with professional software development

About Amazon

Amazon is committed to a diverse and inclusive workplace. 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market.



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