|Category||Software Development||Job type||Full Time|
|Country||United States of America|
At AWS - AI we are building the platform of choice for AI workloads, and we are looking for a strong technical contributor to develop ML features and solutions at Amazon scale.
If you are passionate about new technology trends in machine learning, cloud services and reducing the time and effort to develop and deploy machine learned solutions we would like to talk to you.
Every day will bring new and exciting challenges on the job while you:
• Learn and use advanced technologies
• Collaborate with internal engineering teams, leading technology companies around the world and open source community
• Evangelize and innovate state-of-the-art technologies and services
As a member of SageMaker JumpStart team in AWS AI, you will be working with applied scientists, front-end engineers and UX designers to develop easy-to-use ML solutions for real-world use cases. This position presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical expertise in developing end-to-end machine learning solutions, ability to work within a fast moving, startup environment to rapidly deliver service features that have a broad business impact.
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 14 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.
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience in taking a lead role developing complex software systems that have successfully been delivered to customers
• Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices and mentoring other team members
• Experience in delivering Machine Learning based solution
• Master'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, visit https://www.amazon.jobs/en/disability/us