Senior Applied Scientist, Alexa AI

Job summary
The Alexa Artificial Intelligence (AI) organization has a mission to invent AI capabilities to complete customer interactions naturally and without any friction, anytime, anywhere. In Alexa AI, we build world-class conversational reasoning that enables Alexa to anticipate and accomplish customers’ tasks through context-aware, multi-turn, and multi-skill experiences.

Key job responsibilities
We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP) or Dialogue Management, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in NLP, Natural Language Understanding (NLU), and Dialog Management. The ideal candidate would also enjoy operating in dynamic environments, have the self-motivation to take on challenging problems to deliver big customer impact, and move fast to ship solutions and then iterate on user feedback and interactions.

A day in the life
As a Senior Applied Scientist, you will leverage your technical expertise and experience to tackle large complex problems, and collaborate with scientists and engineers to develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversation. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.

About the team
Learn more about Amazon’s approach to customer-obsessed science on the Amazon Science website, which features the latest news and research from scientists across the company. It’s where you can find information about the conferences we sponsor, the institutions we collaborate with, our awards program, career opportunities, challenges, and more. For the latest updates, subscribe to the monthly newsletter, and follow the @AmazonScience handle and #AmazonScience hashtag on LinkedIn, Twitter, Facebook, Instagram, and YouTube.

Basic Qualifications

• PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• PhD in Electrical Engineering, Computer Sciences, Mathematics, or related field with specialization in speech recognition, natural language processing, or machine learning
• Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI)
• 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.