Sunnyvale, California, United States
• Building the latency sensitive, highly scalable and distributed backend recommendation engine and infrastructure. This engine is used for surfacing recommendations on Amazon search, homepage and products’ details page
• Design, build, test and maintain scalable and reliable infrastructure that supports machine learning workflows from training to serving ML models
• Researching and prototyping LLM based tech solution to improve customer experience and engagement
• Spending time in products’ infrastructure, operations, testing, and maintenance improvement. Working closely with different stakeholders (product managers, TPM, UX, scientists, cross engineering teams) and customers.
• Collaborate with several teams and organizations to drive the development and adoption of solutions
• Actively participating in the team's process improvement, company's hiring process, and mentoring fellow engineers