Wayfair
Location
Bangalore | India
Job description
About Wayfair Inc .
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re 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 you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. What You’ll Do Lead the development of cutting-edge machine learning algorithms in Wayfair’s predictive search/type-ahead, content recommendations, or algorithmic customer understanding teams. Continually improve teams’ ability to build efficient machine learning models by leveraging industry best practices and set high standards for craftsmanship of the entire team. Mentor a team of machine learning engineers, continuously upskill them while modeling a culture of continuous research and innovation. Collaborate closely with the product and engineering leaders in our SMART technologies group to build a next-generation search and recommendations stack and the organization required to maintain and innovate on it Contribute as a senior leader beyond the SMART group, in particular within Wayfair’s broader ML community Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. What You’ll Need Bachelor's or Master’s degree in Computer Science, Mathematics, Statics or a related field. 9+ years of experience in building large scale machine learning algorithms 4+ years in an architect or technical leadership position Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python or R and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have PhD in Computer Science, Mathematics, Statistics or related field Familiarity with suggest/type-ahead systems, search and ranking, or content recommendations Familiarity with Generative AI and their usage in improving search and recommender systems. Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)Job tags
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