Manager, Software Engineering & Machine Learning
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 technology and rapid growth. We seek candidates who are ready to take on challenges, obsessed with customers, and prepared to lead change.
The team automates manual classification processes using technical solutions that rely heavily on machine learning models. We work closely with business, operations, and tech teams globally to deliver complex roadmaps focused on customer goals. Our work leverages data sciences, information processing, machine learning, and generative AI to enhance user experience, automation, service resilience, and operational efficiency. Our AI-driven capabilities expand across Amazon's retail businesses.
We are looking for a successful Software Development Manager to lead efforts in automating the classification of our worldwide selection within regulatory classes. The manager will collaborate with stakeholders from multiple business units to gather requirements and develop next-generation classification models.
The manager will lead a team of Engineers and Applied Scientists, responsible for high-impact machine learning solutions. This is a greenfield initiative, presenting scientific and engineering challenges such as research direction and high-throughput inference constraints. Successful execution will have a significant financial impact.
Beyond technical and business knowledge, we seek candidates with exceptional managerial and communication skills to lead a high-performing, cross-functional team towards greater success.
Key Job Responsibilities
- Lead an ML product team of Engineers and Applied Scientists.
- Coach and develop team members.
- Oversee the development and deployment of ML models for automatic classification within regulatory classes.
- Drive software engineering best practices.
BASIC QUALIFICATIONS
- Knowledge of engineering practices across the software/hardware/network development lifecycle, including coding standards, code reviews, source control, build processes, testing, certification, and live site operations.
- Experience managing engineering teams.
- Experience in engineering and leading the development of multi-tier web services.
- Experience partnering with product and program management teams.
- Basic knowledge of machine learning.
PREFERRED QUALIFICATIONS
- Experience communicating with users, technical teams, and leadership to gather requirements, describe features, and develop product strategies.
- Experience recruiting, hiring, mentoring, and managing software engineers.
- Experience building software that incorporates machine learning to deliver customer value.
Amazon is an equal opportunity employer that values diversity and inclusion. We make hiring decisions based on experience and skills, and prioritize privacy and data security. For accommodations during the application process, please visit the provided link. We do not discriminate based on veteran status, disability, or other protected categories.
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