Applied Scientist, Alexa AI

Job summary
Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?

If your answers to these questions are “yes”, then come join us at the Alexa Artificial Intelligence (AI) team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.

Key job responsibilities
The Alexa AI team is interested in an Applied Scientist to work alongside a team of experienced machine/deep learning scientists and engineers. The ideal Candidate will create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..

Additional responsibilities include:

• Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT)
• Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints
• Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios
• Perform model/data analysis and monitor user-experienced based metrics through online A/B testing
• Research and implement novel machine learning and deep learning algorithms and models

Basic Qualifications

• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• 3+ years experience in building natural language processing systems
• Solid ML background and familiar with standard NLU and ML techniques
• Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
• Solid software development experience
• Good written and spoken communication skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.