Are you excited about the future of GenAI and LLMs? Do you want to work on real-world applications of cutting-edge ML and help share how AI transform our retail and user experience?

Join our Science & ML/Personalization team where you will work side-by-side with scientists, ML engineers, and domain experts to bring models into production, drive quick experimentation, and scale innovative solutions across Amazon! You will gain hands-on experience across ML lifecycle - from data extraction and model training, to MLOps and deployment - while being mentored by our senior staff in our team.

Amazon Consumables ML/Personalization is reinventing the shopping experience for all customers across the largest selection of essential products to become the most trusted destination for everyday needs. The category is unique in retail with its vast customer base and products that are fundamental to daily life, from beauty and personal care to groceries and pet supplies. This is your chance to get in on the ground floor to build something entirely new and transform how people shop for their essential needs! To achieve our vision, we think big and tackle technological challenges every day. We need builders and disruptors who are not afraid to innovate! Our architecture and development processes support rapid experimentation, global deployments, and self-service capabilities that allow us to scale better.

Key job responsibilities
* Work closely with senior engineers, product managers and business stakeholders to design and implement highly available back-end services;
* Convert a problem statement and requirements into a scalable and extendible design along with tasks;
* Write quality code as part of implementing aforementioned designs and deliver them in time;
* Develop personalized recommendation systems that help customers find the right beauty products based on their needs and preferences;
* Understand complex application data flows and bridge the gap between technical and business app requirement;
* Share expert knowledge in performance, large scale distributed system scalability, system architecture, and engineering best practices;

A day in the life
You will have the opportunity to scale and optimize ML models for worldwide impact. You will be working closely with scientists, product managers, and several stakeholders across Consumables to transform cutting-edge research into high-performance ML production systems. In this role, you will dive deep into designing robust ML pipelines, deploying models at scale, and continuously improving model performance in real-world environments. You will also tackle challenges such as feature engineering at scale, model monitoring and infrastructure automation - helping deliver reliable and personalization models to millions of users worldwide.

About the team
We are a passionate group of engineers, scientists, and product managers who drive technological innovation to improve the customer shopping experience. We have a startup-like work culture where innovation is encouraged; we are never afraid to propose big ideas for fear of failing!