Would you like to be a part of the team which is driving one of the fastest growing businesses within AWS? Are you interested in leading the innovation in the Machine Learning and AI ecosystem space? Amazon SageMaker team is expanding and we are looking for Software Development Engineers who are passionate about the future of ML and AI products. We'd love to speak with you about an opportunity to work on the customer experience and the interface which enables scientists, engineers, and even hobbyists to develop artificial intelligence and machine learning models in the cloud.
What is Sagemaker?
Amazon SageMaker is a fully managed Machine Learning platform that makes it easy to build ML models, manage them, and integrate them with custom applications for online predictions. 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.
As a Front End Engineer, you will get the unprecedented opportunity to redefine the end to end customer experience and capabilities of the Sagemaker product. You will work closely with senior engineers, UX designers, and product managers to design and build a fully integrated and easy to use product for AI and ML focused organizations. You will be working in a fast-paced, cross-disciplinary team of engineers and researchers who are leaders in the field.
About the team
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.
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. 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.BASIC QUALIFICATIONS
BA/BS in computer science or related field or 4 years of related experience.PREFERRED QUALIFICATIONS
- UX design experience, such as building websites, mobile apps, and/or other user-facing experiences.
- Machine learning knowledge and experience.
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.