Manager, Software Engineering & Machine Learning, AI Innovation

DESCRIPTION

The Operations Risk Compliance team enables Amazon worldwide to conduct compliant and safe operations at scale. This is a significant challenge due to the complexity of Amazon's diverse technology and rapid growth. We seek top candidates who are ready to take on challenges, obsess over customers, and lead change.

The team automates manual classification processes through technical solutions that rely heavily on machine learning models. We collaborate closely with business, operations, and tech teams globally to deliver complex, ambitious roadmaps with customer goals in mind. We leverage data sciences, information processing, machine learning, and generative AI to enhance user experience, automation, service resilience, and operational efficiency. Our work expands AI-driven capabilities within our Retail businesses.

We are seeking a successful Software Development Manager to lead efforts in automating the classification of our entire worldwide selection within regulatory classes. The manager will work with stakeholders from multiple business units to gather requirements and develop and deploy next-generation classification models.

The Software Development Manager will lead a team comprising Machine Learning Engineers, Software Engineers, and Applied Scientists, and will be the primary owner of high-impact machine learning solutions under development. This is a greenfield project, with solutions still to be built. The business problems present scientific and engineering challenges, from research to high-throughput inference constraints. Successful execution will have a significant financial impact, potentially counting in hundreds of millions of dollars.

Beyond strong engineering and business knowledge, candidates should have exceptional managerial and communication skills to lead a high-performing cross-functional team to greater success.

Key job responsibilities

1. Lead an ML product team comprising Engineers and Applied Scientists
2. Act as a coach and develop team members
3. Deliver development and deployment of ML models into production to classify Amazon's selection within regulatory classes
4. Drive software and engineering best practices

BASIC QUALIFICATIONS

• Knowledge of engineering practices and patterns across the full software/hardware/networks development lifecycle, including coding standards, code reviews, source control, build processes, testing, certification, and live site operations
• Experience in engineering team management
• Experience in engineering
• Experience leading the development of multi-tier web services
• Experience partnering with product and program management teams
• Basic knowledge of ML

PREFERRED QUALIFICATIONS

• Experience communicating with users, technical teams, and senior leadership to gather requirements, describe software features, designs, and strategy
• Experience recruiting, hiring, mentoring, and managing software engineers to improve their skills and effectiveness
• Experience building software that integrates ML to deliver customer value

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