Senior Conversational AI Researcher
19 hours ago
About Amazon Q Business
Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and take actions. It empowers employees to be more creative, data-driven, efficient, prepared, and productive.
Responsibilities:
- Optimize large language models for efficiency.
- Implement solutions to enhance and build new functionalities into the Q assistant.
- Collaborate with cross-functional teams including product and engineering leaders.
Minimum Qualifications:
- PhD or Master's degree and 6+ years of applied research experience.
- 3+ years of building machine learning models for business application experience.
- Experience programming in Java, C++, Python, or related languages.
- Experience with neural deep learning methods and machine learning.
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
- Experience with large-scale distributed systems such as Hadoop, Spark, etc.
Benefits and Compensation:
The base salary for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. We are a total compensation company and offer equity, sign-on payments, and other forms of compensation as part of our total compensation package.
About Our Team
You will join a team of applied scientists developing robust and scalable machine learning solutions for enterprise conversational assistants. You will interact in a cross-functional capacity with product and engineering leaders, as well as with our customers and the academic community. 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 the Q assistant.
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