AWS Machine Learning Engineer

3 weeks ago


Santa Clara, California, United States Amazon Full time
Company Overview

AWS Utility Computing (UC) provides innovative services such as Amazon Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2). Our organization supports the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including specialized security solutions for cloud services.

We are hiring experienced data scientists to join our team. In this role, you will work on optimizing large language models in an efficient manner and implementing solutions to enhance and build new functionalities into Q assistant. You will also interact with customers and the academic community to understand their needs and develop solutions that meet those needs.

The ideal candidate will have 2+ years of experience in data science and 3+ years of experience in machine learning/statistical modeling data analysis tools and techniques. They will also have experience applying theoretical models in an applied environment and experience working with large technology companies.

We offer a competitive salary range of $143,300-$247,600 per year, depending on location. In addition to a base salary, we offer equity, sign-on payments, and other forms of compensation as part of a total compensation package.

About the Team

AWS Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and take actions securely. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. As a member of the Q team, you'll work on optimizing large language models in an efficient manner and implementing solutions to enhance and build new functionalities into Q assistant.

Responsibilities

You will be responsible for designing and implementing machine learning solutions for enterprise conversational assistants. You will work closely with product and engineering leaders to ensure that solutions meet the needs of our customers and stakeholders. You will also interact with customers and the academic community to understand their needs and develop solutions that meet those needs.

Some of the responsibilities include:
  • Developing and implementing machine learning solutions for enterprise conversational assistants.
  • Working closely with product and engineering leaders to design and implement scalable and robust machine learning solutions.
  • Interacting with customers and the academic community to understand their needs and develop solutions that meet those needs.


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