Software Development Engineer, SageMaker Ground Truth Plus

Key Skills

Java Programming, Design, Python Programming, SQL, Machine learning techniques, Large scale data processing

Job 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. SageMaker Ground Truth Plus 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.

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.

BASIC QUALIFICATIONS

• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one software programming language.

PREFERRED QUALIFICATIONS

• MS in computer science, machine learning, computer vision, or related field
• Experience in delivering Amazon-scale systems
• A deep understanding of distributed and service-oriented architectures. Delivered large scale commercial enterprise software systems or large scale online services
• Excellent written and verbal communication, presentation skills and listening skills. This will include the ability to present complex technical information in a clear and concise manner to a variety of audiences, including non-technical