Offers “Amazon”

18 days agoAmazon

Full Stack/Frontend Engineer AWS AI

  • Seattle (King)
  • Teaching

Job description


Interested in creating systems and services that bring the power of Machine Learning (ML) to new application fields? With products such as Amazon Lookout for Equipment, our organization is setting the standard for high-performance, easy-to-use and cost-effective ML services. Our team expands this portfolio to new applications and industries.

With Lookout for Equipment, developers and data scientists have the ability to build, train, and deploy machine learning models for anomaly detection. As a fully-managed cloud service, Lookout for Equipment 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 work for predictable maintenance understandable, affordable, scalable, and accessible to everyone.

As an front end engineering leader on the team, you'll be responsible for starting a new team to build out interactive data-driven ML applications.

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

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Make every future a success.
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