Machine Learning Software Development Engineer

DESCRIPTION

The Human-in-loop services team builds AWS services and applications that enable the use of human intelligence in Machine Learning. Common use cases include video labeling, 3d point cloud object detection and natural language processing. Successful machine learning models are built on high-quality training data. But the process to create the training data is often expensive, complicated, and time-consuming. Products such as SageMaker Ground Truth and Augmented AI solve the problem using smart crowd-sourcing and Machine Learning technologies thus improving the quality of the training data while reducing the cost.

In this role, you will work closely with stakeholders, other engineering managers and product teams to deliver mission-critical and complex products and features. This position presents a unique and rare opportunity to work on cutting edge technologies, and get in on the ground floor within a fast growing business.

This opportunity requires excellent technical, problem-solving, and communication skills. Ideal candidates have experience with agile methodologies of development, have a high team work mentality coupled with a strong bias for action yet always insisting on highest standards. That said, everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that feels more like a startup than a big company.

BASIC QUALIFICATIONS

· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
8+ years of proven experience in designing, developing and operating scalable, distributed systems, with focus on high performance and availability

Expertise in Java and/or Python programming languages
Experience in best-in-class software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operational excellence
Ability to take a project from scoping requirements through actual launch of the project

Strong interpersonal communication skill, including verbal, written, listening, and customer relationships

PREFERRED QUALIFICATIONS

- MS in Computer Science
- Full-stack or front-end experience
- Experience with 3d graphics or ML
- Experience in operational excellence processes and best practices for cloud services

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, please visit https://www.amazon.jobs/en/disability/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 we 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.

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. 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.