Senior Applied Scientist / Machine Learning Engineer in Sponsored Products Ads

Join the Amazon Ads Response Prediction team as a Senior Applied Scientist / Machine Learning Engineer! If you are passionate about innovating at the crossroads of customer experience, deep learning, and high-scale machine-learning systems, this is the place for you. We are a motivated and collaborative group dedicated to delivering world-class advertising products that fuel both discovery and sales. In this role, you will play a key part in shaping Amazon Advertising, which integrates eCommerce and ad technologies. Our products are crucial for our Retail and Marketplace businesses, driving long-term growth and enhancing the shopper and advertiser experience. As a Machine Learning Applied Scientist, you will be responsible for: Conducting deep data analysis to gain insights and identify new opportunities. Developing scalable and effective machine learning models and optimization strategies. Running A/B experiments, gathering data, and performing statistical analysis. Collaborating with software engineers to deliver end-to-end solutions. Improving the scalability, efficiency, and automation of large-scale data analytics and model training. Researching new machine learning methods to optimize the Sponsored Products business. Our team is pioneering the use of advanced machine learning and generative AI in the Sponsored Products domain, ensuring every customer has a personalized shopping experience. From backend optimization to frontend innovations, we make every effort to understand shoppers and enhance their experience on Amazon. Basic Qualifications: 3+ years of experience building machine learning models for business applications. PhD or Master's degree with at least 6 years of applied research experience. Proficiency in programming languages such as Java, C++, or Python. Experience with neural deep learning methods and machine learning techniques. Preferred Qualifications: Familiarity with modeling tools like R, scikit-learn, TensorFlow, and others. Experience with large-scale distributed systems such as Hadoop and Spark. This position is located at Amazon's office, and we are dedicated to creating an inclusive culture that empowers every individual. We are committed to considering qualified applicants with arrest and conviction records as per the Los Angeles County Fair Chance Ordinance. Your contributions will not only impact our team but will also shape the international shopping experience for millions of customers. Apply now to join our dynamic team!