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Frontend Engineer II - ML, ML_AI


Amazon Data Services, Inc. - A19


Location

Bellevue, WA | United States


Job description

DESCRIPTION


Are you intrigued or passionate about Machine Learning (ML) & ready to build a new customer-centric product? The Amazon SageMaker Canvas team is looking for talented front-end engineers to help us build the next generation of Low Code/No Code ML tools.

With SageMaker, developers and data scientists have the ability to build, train, and deploy machine learning models quickly. As a fully-managed cloud service, SageMaker covers the entire data science workflow from data preparation and exploratory data analysis to model building and inference; our charter is to make data science and machine learning understandable, affordable, scalable, and accessible to everyone. The foundation of the SageMaker user experience is the industry standard, open-source Jupyter Notebook.

As a front-end engineering developer on the Sagemaker Canvas team, you'll be responsible for driving key deliverables within a new team building out interactive and responsive user experiences in Sagemaker Canvas. Our goal is to democratize Machine Learning by bringing it to non-ML savy persona, who can build ML models to solve complex problems with ease. You will be empowered to achieve this goal by building realiable, scalable, distributed and high performance products. You will have significant influence on our overall strategy by helping define product features, drive the system architecture and spearhead the best practices that enable a quality product.

Key job responsibilities

Work closely with UX designers and product managers to develop friendly UI experiences.
Work closely with other engineers to architect and develop the best technical design.
Develop/maintain operational rigor for the frontend of a fast-growing AWS service.
Own and deliver key features within a new interactive ML application
Help develop the engineers of an existing “two pizza” scrum team.
Collaborate with other SageMaker SDEs for features that cut across SageMaker.
Engage with customers and other AWS partners.
Help with hiring.
You'll be well supported with by a group with deep technical chops, including multiple senior and principal engineers and scientists.

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

Santa Clara, CA, USA

BASIC QUALIFICATIONS

- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience using JavaScript frameworks such as angular and react


Job tags

Full timeInternship


Salary

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