Retail Business Services (RBS) at Amazon is seeking an Application Engineer to join their Machine Learning Platform Engineering team. This role supports Amazon's Retail business growth worldwide through selection optimization, defect elimination, and operational process support. The position combines technical expertise with ML/Deep Learning automation to enhance Amazon's catalog accuracy and customer experience.
The ideal candidate will work in a dynamic environment where they can either specialize deeply in specific domains or manage multiple tasks simultaneously. The role offers various growth paths - from technical depth to operational coordination. You'll be part of a team that values continuous learning, customer focus, and technical excellence.
The position involves working with cutting-edge ML platforms, collaborating with data science teams, and improving customer experience across Amazon marketplaces. You'll handle operational excellence, system stability, incident management, and root cause analysis. The team emphasizes work-life harmony and provides strong mentorship opportunities, including one-on-one sessions with Principal & Senior Engineers.
RBS Tech team offers a supportive environment with robust systems, mature processes, and a motivated team focused on customer experience enhancement. You'll contribute to building platforms that require high availability, scalability, and reliability. The role combines technical support with platform development, making it ideal for engineers who enjoy both hands-on coding and operational excellence.
The position offers significant growth opportunities through technical challenges, customer interaction, and continuous learning. You'll work in an environment that celebrates knowledge sharing, provides detailed code reviews, and encourages both personal and professional development. If you're passionate about machine learning, operational excellence, and creating impact at scale, this role offers an excellent opportunity to make your mark at Amazon.