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Senior Applied Scientist, Alexa AI

Amazon

Our mission: To be Earth's most customer-centric company.

DESCRIPTION

Job summary
The Alexa Artificial Intelligence (AI) team is looking for a passionate Senior Applied Scientist with a strong machine learning (ML) background to build state-of-the-art systems in the fields of Entity Resolution and Linking. You will join a dynamic and innovative team of scientists who leverage Amazon’s heterogeneous data sources and large-scale computing resources as well as ML, information retrieval and natural language technologies to make Alexa accurate, efficient, and fast. In this team, you will not only work on the production stack but can also help contribute to the academic community through publications. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.

Key job responsibilities

  • Use Natural Language Processing (NLP), deep learning and knowledge graph ML techniques to create scalable solutions
  • Develop models and systems that improve end-user experience through integration of entity oriented representations
  • Design, experiment and evaluate highly innovative models for predictive, explainable learning and produce technical documents
  • Guide junior scientists, collaborate with researchers in the field, and work with engineering teams to bring your solutions to the millions of customers who use Alexa every day
  • Research and implement novel machine learning and statistical approaches and contribute to the academic community through publications

BASIC QUALIFICATIONS

  • PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
  • 3+ years of experience in building machine learning models for business application
  • Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

  • 5+ years of relevant experience, post-PhD
  • Experience with delivering production AI systems under latency constraints
  • Experience with weakly supervised and self learning, deep learning, knowledge graph and fusion
  • Hands-on experience with sparsification, quantization and amortization of DNNs
  • Active member of the research community and strong track record of scientific publications in premier journals or conferences
  • Ability to work on ambiguous problem areas and deliver business critical solutions
  • Track record of leading projects and/or building research agendas

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does 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 https://www.amazon.jobs/en/disability/us.

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Senior Applied Scientist, Alexa AI

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Amazon

Our mission: To be Earth's most customer-centric company.

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