Senior Applied Scientist, Alexa Enterprise Products
1 week ago
We are seeking a highly skilled Senior Applied Scientist to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.
Key Responsibilities:- Drive the development of conversational assistants, particularly those based on Large Language Models (LLMs), that meet enterprise standards.
- Handle Amazon-scale use cases with significant impact on our customers' experiences.
- Collaborate with cross-functional teams to design and implement ML solutions.
- 3+ years of building machine learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research 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.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
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Bellevue, Washington, United States Amazon Full timeSenior Applied Scientist, Alexa Enterprise ProductsAmazon is seeking a highly skilled Senior Applied Scientist to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.Key Responsibilities:Drive the development of conversational assistants based on Large Language Models (LLMs) that meet enterprise...
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