Amazon is investing heavily in building a world-class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
We're seeking a SDE ML for our Sponsored Products Detail Page Experience and Marketplace Intelligence team to elevate our business to new heights. By developing a profound understanding of shoppers and products, we help shoppers uncover products they'll adore, provide the most efficient platform for advertisers to reach their customers, and enable Amazon to continually innovate for the benefit of all its customers. As a SDE ML, you will operate across various technologies within the organization. Your responsibilities will include designing, coding, troubleshooting, and supporting scalable machine-learning pipelines and online serving systems. You'll also work with implementing end-to-end ML solutions and optimizing their performance. Beyond being a passionately motivated individual contributor, you'll also mentor junior engineers, guiding them to realize their full potential.
Key job responsibilities:
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing