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Amazon Sr Software Development Engineer in Bellevue, Washington

Description

At AWS AI, we are building the platform of choice for AI workloads, and we are looking for a strong technical contributor to develop ML features and solutions at AWS scale.

If you are passionate about new technology trends in artificial intelligence, cloud services and making it easier for our customers to solve their real-world business cases with machine learning/deep learning, we would love to talk to you.

Every day will bring new and exciting challenges on the job while you:

· Learn and use technologies in AWS such as Amazon SageMaker

· Innovate and evangelize using state-of-the-art machine learning services in AWS and ML frameworks, and

· Meet with external customers in different industries to “work-backwards” from their machine learning business cases.

As a member of the SageMaker JumpStart team in AWS AI, you will be working alongside applied scientists, front-end engineers and UX designers to develop easy-to-use ML solutions for real-world use cases.

We work in a start up environment to iterate quickly based on customer feedback and ultimately deliver broad business impact. Ideally, you would have deployed several end-to-end machine learning features, and are experienced with the path from development to production.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • 5+ years of programming with at least one software programming language experience

  • 5+ years of non-internship professional software development experience

  • Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

  • Bachelor's degree in computer science or equivalent

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/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. Applicants should apply via our internal or external career site.

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