Senior ML Manager, Notifications Intel Science Wayfair

About Wayfair

Job Description

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 engineers and a deeply data-centric culture. The Customer Technology (CT) organization builds and owns all Machine Learning (ML) products that power search, marketing, and recommendations across Wayfair. An increasingly critical part of this ecosystem is our ML-powered communications platform, which drives timely, personalized engagement across channels and plays a key role in influencing customer behavior, retention, and revenue. We are seeking an experienced Senior Machine Learning Manager to lead the Notifications Science team, focused on building intelligent, ML-driven systems for personalized notifications. These systems ensure that we send the right message to the right customer, at the right time, through the right channel (Push, Email, SMS), and at the right cadence, while balancing incremental revenue with customer engagement health. In this role, youll be accountable for the technical roadmap, driving innovation to build the next generation of Wayfairs communications ML stack. Youll work closely with a high-performing team of ML scientists and engineers to solve some of Wayfairs most complex challenges in personalization, latency, and scale with direct impact on customer experience and company revenue. What Youll do: Own the strategy, roadmap, and execution of notification intelligence and automation solutions. Lead the development of GenAI-powered content generation, send-time optimization, and cross-channel orchestration systems. Build intelligent systems that drive significant incremental revenue while minimizing customer fatigue and unsubscribes. Develop and grow technical leadership within the team, modeling a culture of continuous research and innovation. Collaborate with Engineering and Product teams to scale decisioning systems to millions of notifications daily. Act as a subject matter expert, providing mentorship and technical guidance across the broader Data Science and Engineering organization. We Are a Match Because You Have: Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of industry experience, with at least 12 years of experience managing teams, and 5+ years as an individual contributor working on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem-solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior-level stakeholders on strategic direction, based on recommendations backed by in-depth analysis, and excellent written and verbal communication skills. Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, e.g., Python, Golang, or Rust. Nice to have: Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. Familiarity with Generative AI and agentic workflows. About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, were reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.,