Job Description

Locations

• United States, WA, Seattle, Seattle, WA, United States

Salary

Skills Required

• - 3+ years of building models for business application experienceintermediate
• - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
• - Experience in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
• - Experience programming in Java, C++, Python or related languageintermediate
• - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate

Required Qualifications

• - 3+ years of building models for business application experience (experience, 3 years)
• - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
• - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
• - Experience programming in Java, C++, Python or related language (experience)
• - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)

Preferred Qualifications

• - Experience using Unix/Linux (experience)
• - Experience in professional software development (experience)
• Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)

Responsibilities

• * Design and implement solutions that extend or adapt scientific approaches for customer needs at the project level
• * Deliver components into production that meet high quality standards (efficient, reproducible, testable code)
• * Produce research reports demonstrating correctness, scholarship, and scientific rigor
• * Work with product and science teams to deliver impactful AI features
• * Contribute to operational excellence in the team's deliverables
• 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.
• Diverse Experiences
• AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
• Why AWS?
• Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship & Career Growth
• We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

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