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Amazon.com - Bellevue, WA

posted 4 days ago

Full-time - Entry Level
Bellevue, WA
General Merchandise Retailers

About the position

We are a part of Amazon Alexa Devices organization with the mission "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions.

Responsibilities

  • Collaborate with other applied scientists and engineers to develop novel algorithms for recommendations and conversations.
  • Impact customers through products and services utilizing machine learning, deep learning, and language model technologies.
  • Leverage Amazon's heterogeneous data sources and large-scale computing resources to advance the state of the art.

Requirements

  • PhD, or Master's degree and 3+ years of building machine learning models for business application experience
  • 3+ years of building models for business application experience
  • Experience programming in Java, C++, Python or related language.

Nice-to-haves

  • PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval
  • 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features.
  • Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI)
  • Solid software development experience
  • Good written and verbal communication skills.

Benefits

  • Base pay ranges from $136,000/year to $222,200/year depending on geographic market and experience.
  • Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
  • Full range of medical, financial, and/or other benefits.
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