Address
Form of work
Salary- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- Bachelor's degree in computer science or equivalent
- 2+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
Key job responsibilities
As a front-end engineer on the Amazon SageMaker Studio team, you’ll own the new studio user experience and platform. You will build/support state-of-the art features on the Studio web-based platform, including building and maintaining a fully federated environment which spans across 10 other partner teams. You will build and maintain Studio as a Single pane of glass for the AI/ML customers of AWS. With the Studio Web Application users can create experiments, build and evaluate models, debug performance issues, compare experiments, and deploy models. Your team's mission is to provide a simple, intuitive, highly scalable and collaborative solution which supports data scientists and ML engineers perform end to end AI/ML tasks and also work collaboratively across the organization. You will also be a key driver to build integrated features to expand the AI/ML capabilities and for integrating new LL model capabilities onto the Studio Application.
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. However, strong motivation to learn ML and AI is critical for successful candidates.
Additional responsibilities include:
- Designing, developing and maintaining core system features, services and engines
- Helping define product features, design UX features, drive the system architecture, and spearhead the best practices that enable a quality product
- Working with external customers, scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility
- Operating in an Agile/Scrum environment to deliver high quality software
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.
About Us
Inclusive Team Culture
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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
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.
Mentorship & Career Growth
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
- Master's degree in computer science or equivalent
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.
