Senior Language Model Research Scientist

6 days ago


Bellevue, Washington, United States Amazon Web Services, Inc. Full time

**Company Overview**

Amazon Web Services, Inc. is the world's most comprehensive and broadly adopted cloud platform.

We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

**Job Description**

As a Senior Language Model Research Scientist at Amazon Web Services, you will be part of a dynamic team that builds science foundations for Bedrock, a fully managed service that makes high-performing foundation models available for use through a unified API.

Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.

You will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology.

Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community.

**Salary**

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.

**Required Skills and Qualifications**

To be successful in this role, you should have:

  • A PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 3+ years of building models for business application experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

**Benefits**

We value diverse experiences and encourage candidates to apply, even if they don't meet all of the qualifications and skills listed in the job description.

We offer a total compensation package, including equity, sign-on payments, and other forms of compensation, in addition to a full range of medical, financial, and/or other benefits.

**Work-Life Balance**

We value work-life harmony and strive for flexibility as part of our working culture.

We also value innovation and recognize this sometimes requires uninterrupted time to focus on a build.



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