Description

　　Amazon SageMaker Studio is the world’s first fully integrated development environment tailored for machine learning, and is growing rapidly to be the tool of choice for machine learning scientists and practitioners all around the world. All ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection can be performed within SageMaker Studio. While experimenting with different combination of inputs to fine tune models, users can launch an experiment leaderboard alongside their notebooks to track, sort, and rank all the experiments. Amazon SageMaker Studio supports many popular frameworks for deep learning such as TensorFlow, Apache MXNet, PyTorch, and more. We are looking for talented software development/ML engineers to build brand new integrated development editor support offering a variety of development languages and ML technologies.

　　Key job responsibilities

　　As a software development engineer on the Amazon SageMaker Studio Platform team, you’ll own developing new generation features for data scientist platform experience for AWS ML. You will build/support state-of-the art capabilities for Studio. Users can choose their preferred IDE on Studio, which will serve as the single place of development environment where users can create experiments, build and evaluate models, debug performance issues, compare experiments, and deploy models. Your team's mission is to provide a highly scalable and collaborative data science workbench where any data scientist, developer, or student can launch a wholly configured and collaborative workspace in the cloud.

　　A day in the life

　　You will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will also partner with other ML teams to help invent, implement, and connect sophisticated algorithms to our cloud based engines. Prior domain knowledge including AI and ML is preferred, though not required.

　　About the team

　　Amazon SageMaker is the world’s first fully integrated development environment tailored for machine learning, and is growing rapidly to be the tool of choice for machine learning scientists and practitioners all around the world. SageMaker Studio is our flagship ML IDE for ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection. We are looking for talented engineers to build the next generation IDE. We show pride in an inclusive environment that celebrates knowledge sharing, mentorship, and career growth.

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

　　Seattle, 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. Applicants should apply via our internal or external career site.