
Principal Applied Scientist, Amazon Connect
- Seattle, WA
- Permanent
- Full-time
- 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
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.BASIC QUALIFICATIONS
- 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