Personalization Engineer for Conversational Systems
4 days ago
Amazon is seeking a skilled Personalization Engineer to join the Alexa Customer Journeys team. This is an exciting opportunity to develop and implement state-of-the-art machine learning systems for personalizing conversational assistant systems.
About the RoleYou will play a critical role in driving the development of personalization techniques enabling conversational systems, particularly those based on large language models, information retrieval, recommender systems, and knowledge graph. Your expertise will help tailor these systems to customer needs, handling Amazon-scale use cases with significant impact on our customers' experiences.
Key Responsibilities- Design and develop scalable solutions using deep learning, machine learning, and NLP techniques for creating personalized assistant systems based on contextual signals.
- Innovate new methods for contextual knowledge extraction and information retrieval, combining language models with other learning techniques.
- Research advanced customer understanding and behavior modeling techniques.
- Collaborate with cross-functional teams to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification.
- Evaluate the performance of state-of-the-art algorithms and models through experiments and iterate quickly to improve results.
- 3+ years of experience building models for business applications.
- PhD or Master's degree in CS, CE, ML, or related field, or equivalent experience.
- Experience programming in Java, C++, Python, or related languages.
- Knowledge of algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, and Unix/Linux environments.
This position offers a competitive salary ranging from $149,300/year to $249,300/year, depending on your skills and experience. As a total compensation company, you may also receive equity, sign-on payments, and other benefits in addition to a full range of medical, financial, and other benefits.
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