Senior Scientist - Machine Learning

As a Senior ML Scientist at Wayfair, you will play a crucial role in shaping the future of customer engagement through intelligent, personalized communication driven by scalable AI systems. Wayfair, with a team of over 3,000 engineers and a data-centric culture, is dedicated to enabling everyone to live in a home they love. The Customer Technology (CT) science team, responsible for all ML products supporting search, marketing, and recommendations at Wayfair, is seeking an experienced ML scientist to lead the development of ML systems for customer engagement and notification platforms. Role Overview: In this role, you will lead the research and development of ML systems that power Wayfair's customer engagement and notification platforms. Your responsibilities will include decisioning for notification sends, optimizing cross-channel customer engagement, and developing multi-objective optimization frameworks to enhance long-term customer value. Key Responsibilities: - Drive the development of ML systems for notification send decisioning, including ranking and personalization components - Build systems to optimize cross-channel customer engagement (Email, Push, SMS) while balancing revenue, engagement, and customer fatigue - Develop multi-objective optimization frameworks to maximize long-term customer value and minimize unsubscribe and disengagement risk - Collaborate with product and engineering partners to build and evolve Wayfair's next-generation notification and customer engagement stack - Design and iterate on decisioning systems using experimentation and data-driven optimization - Maintain a customer-centric perspective in problem-solving and technical solutions Qualifications Required: - Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field - 10+ years of experience in building large-scale ML algorithms - 4+ years of demonstrated experience owning and delivering end-to-end ML systems or providing technical leadership on complex ML problems - Strong theoretical understanding and practical experience applying statistical models and ML algorithms at scale - Proficiency in programming languages such as Python or R, and ML libraries such as TensorFlow or PyTorch - Ability to partner cross-functionally to own and shape technical roadmaps - Intellectual curiosity and a strong desire to continuously learn Additional Details: - PhD in Computer Science, Mathematics, Statistics, or related field (Nice to have) - Experience with marketing technology, customer engagement platforms, or send optimization systems (Nice to have) - Familiarity with multi-objective optimization, causal inference, or experimentation frameworks (Nice to have) - Familiarity with Generative AI and its applications in personalization or content generation (Nice to have) - Experience with cloud platforms (GCP, AWS, Azure) and ML orchestration tools (Airflow, Kubeflow, MLflow) (Nice to have) As a Senior ML Scientist at Wayfair, you will play a crucial role in shaping the future of customer engagement through intelligent, personalized communication driven by scalable AI systems. Wayfair, with a team of over 3,000 engineers and a data-centric culture, is dedicated to enabling everyone to live in a home they love. The Customer Technology (CT) science team, responsible for all ML products supporting search, marketing, and recommendations at Wayfair, is seeking an experienced ML scientist to lead the development of ML systems for customer engagement and notification platforms. Role Overview: In this role, you will lead the research and development of ML systems that power Wayfair's customer engagement and notification platforms. Your responsibilities will include decisioning for notification sends, optimizing cross-channel customer engagement, and developing multi-objective optimization frameworks to enhance long-term customer value. Key Responsibilities: - Drive the development of ML systems for notification send decisioning, including ranking and personalization components - Build systems to optimize cross-channel customer engagement (Email, Push, SMS) while balancing revenue, engagement, and customer fatigue - Develop multi-objective optimization frameworks to maximize long-term customer value and minimize unsubscribe and disengagement risk - Collaborate with product and engineering partners to build and evolve Wayfair's next-generation notification and customer engagement stack - Design and iterate on decisioning systems using experimentation and data-driven optimization - Maintain a customer-centric perspective in problem-solving and technical solutions Qualifications Required: - Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field - 10+ years of experience in building large-scale ML algorithms - 4+ years of demonstrated experience owning and delivering end-to-end ML systems or providing technical leadership on complex ML proble