Software Development Engineer, Ring AI
DESCRIPTION
Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the first-ever video doorbell, to the award-winning DIY Ring Alarm system, Ring’s smart home security product line, as well as the Neighbors app, offer users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone -- while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.
Ring is looking for a Software Development Engineer to join the team, to support the computer vision machine learning infrastructure that provides smart and rich notifications to Ring customers worldwide.
You will be part of a global organisation, and a team that makes decisions on how technical solutions are delivered, working in a cross-functional way with internal teams to drive key aspects of product definition, execution, testing and operation. The successful candidate will have the opportunity to make an impact on our customer experience across the world.
BASIC QUALIFICATIONS
- Experience building complex software systems that have been successfully delivered to customers
- Experience in professional, non-internship software development
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Proficiency in Computer Science fundamentals such as; object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
- Experience working with distributed systems or applications, and understanding how they are deployed.
- Experience working with machine learning pipelines.
- Experience working with AWS services (SageMaker, S3, DynamoDB, EC2, Kinesis, SQS, IAM) and infrastructure as code, able to identify the right architecture for the problem in hand.
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