2 Auction Modeling Jobs

You will be joining Wayfair's Advertising business, which is experiencing rapid growth and adding substantial profits to the company. The team is focused on building Sponsored Products, Display & Video Ad offerings to meet various advertiser goals and provide engaging Ads to millions of customers. As part of the team, you will contribute to evolving the Ads Platform to empower advertisers of all levels to achieve a strong ROI through state-of-the-art Machine Learning techniques. The Advertising Optimisation & Automation Science team plays a crucial role in this effort by utilizing machine learning and generative AI to streamline campaign workflows and provide impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, the team is working on developing intelligent systems for creative optimization and exploring agentic frameworks to simplify and enhance advertiser interactions. As a Senior Machine Learning Manager, you will lead a growing team dedicated to building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. You will have the opportunity to define and deliver innovative capabilities that create substantial commercial value and directly improve advertiser outcomes. Collaborating with a team of ML scientists and engineers, you will tackle challenging problems in machine learning, latency, and scalability while contributing to the company's success. Key Responsibilities: - Own the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. - Lead the development of GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive incremental ad revenue and enhance supplier outcomes. - Build and manage a team of ML scientists focused on developing intelligent budget, tROAS, and SKU recommendations, creative testing frameworks, and simulation-driven decision-making. - Collaborate cross-functionally with Product, Engineering, and Sales teams to deliver scalable ML solutions that enhance supplier campaign performance. - Research and implement best practices in advertising science, GenAI applications, and auction modeling to keep Wayfair at the forefront of innovation. - Collaborate with Engineering teams to build and scale the infrastructure required for automated, intelligent advertising decision-making. - Provide mentorship and technical guidance to the broader DS/Eng organization as a subject matter expert when needed. Requirements: - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field. - 10+ years of industry experience, with 1-2 years as a manager and 5+ years as an IC on production ML systems. - Strategic thinker with a customer-centric mindset and a passion for creative problem-solving. - Strong communication skills and ability to influence senior stakeholders based on data-driven recommendations. - Proficiency in programming languages such as Python, Golang, or Rust. Nice to have: - Experience with GCP, Airflow, and containerization (Docker). - Experience building scalable data processing pipelines with big data tools. - Familiarity with Generative AI and agentic workflows. - Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.,

As a Senior Machine Learning Manager at Wayfair's Advertising Optimization & Automation Science team, you will play a pivotal role in leading a team dedicated to developing intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will involve owning the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. You will lead initiatives focused on GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive significant incremental ad revenue and improve supplier outcomes. In this role, you will build, coach, and manage a team of ML scientists who will work on developing intelligent budget, target Return on Ad Spend (tROAS), and SKU recommendations, as well as creative testing frameworks and simulation-driven decision-making processes. Collaboration with cross-functional teams such as Product, Engineering, and Sales will be essential to deliver scalable ML solutions that enhance supplier campaign performance. Your expertise will be crucial in ensuring that systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Furthermore, you will be involved in researching and applying best practices in advertising science, GenAI applications in creative personalization, and auction modeling to keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaboration with Engineering teams will also be a key aspect of your role to build and scale the necessary infrastructure for automated, intelligent advertising decision-making. To be successful in this position, you should have a Bachelor's or Masters's degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of industry experience. Additionally, you should have at least 1-2 years of experience as a manager of teams and 5+ years serving as an Individual Contributor (IC) on production ML systems. Proficiency in programming languages such as Python, Golang, or Rust is required, and experience with GCP, Airflow, and containerization is a plus. If you are a strategic thinker with a customer-centric mindset, excellent communication skills, and a passion for creative problem-solving, this role offers you the opportunity to make a significant impact in a rapidly growing organization like Wayfair. Join us in reinventing the way people shop for their homes and embark on a rewarding career journey filled with growth, learning, and dynamic challenges. Please note that your personal data will be processed in accordance with Wayfair's Candidate Privacy Notice. For any inquiries or to exercise your privacy rights, please contact dataprotectionofficer@wayfair.com.,