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Amazon Software Development Engineer, Sagemaker Canvas in Bellevue, Washington

Description

Interested in Machine Learning? Amazon SageMaker (https://aws.amazon.com/sagemaker/) takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand. SageMaker is a fully managed Machine Learning platform that makes machine learning services ease of use, universal and accessible to variety of enterprise users. Amazon SageMaker Canvas (https://aws.amazon.com/sagemaker/canvas/) allows you to prepare data for ML, automatically build machine learning models, evaluate their performance and deploy those models to an endpoint for inference. SageMaker Canvas will automatically explore different solutions to find the best model based on the data you provide.

We are seeking Software Development Engineer for our SageMaker team. As an SDE-II you will lead and own the innovation in the space of ML services, building compelling functionality and new capabilities for the Amazon SageMaker and SageMaker Cavas, as we continue to develop more ML services and innovate on ML algorithms to satisfy different customer requirements.

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

Bellevue, WA, USA

Basic Qualifications

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

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ 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 $115,000/year in our lowest geographic market up to $223,600/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.

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