Principal Applied Scientist, Amazon Connect

Amazon•Seattle, WA

About The Position

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Principal Applied Scientist will drive the scientific vision for AI systems. The role requires tackling intrinsically hard, previously unsolved problems while balancing rapid innovation with reliability and compliance. You should be comfortable making decisions with incomplete information and driving solutions in ambiguous problem spaces. You'll work closely with senior technical leaders within the team and across AWS. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. About the team Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.

Requirements

PhD in Computer Science, Machine Learning, or related field
10+ years of relevant, broad research experience after PhD
Track record of delivering production AI/ML systems with significant customer impact
Deep expertise in one or more areas of AI/ML (e.g., NLP, computer vision, deep learning)
Strong publication record in top-tier conferences or journals
Experience leading and mentoring teams of scientists and engineers
Exceptional problem-solving and analytical skills
Strong communication skills and ability to influence across organizations
Experience with large-scale machine learning systems and cloud computing
Track record of driving scientific innovation in industry settings
Experience partnering with product and engineering teams to deliver AI solutions
Demonstrated ability to translate complex scientific concepts to non-technical stakeholders

Responsibilities

Drive the scientific vision of teams in the organization and advise technical leadership on scientific challenges
Initiate and lead the design and delivery of science solutions that address significantly large or endemic customer and business problems
Propose innovative solutions to intrinsically hard, previously unsolved problems
Influence the organization towards adopting new approaches, concepts, and paradigms
Mentor and develop other scientists, fostering a culture of scientific excellence

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