As a Senior ML Scientist at Wayfair, you’ll shape the future of how millions of customers discover, explore, and shop for their homes through intelligent, scalable AI systems.

Who We Are

Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. The Customer Technology (CT) science team builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods, to driving marketing experiences customers love all at web scale.

We are looking for an experienced Senior Machine Learning Scientist to lead the development of the next generation of intelligent customer experiences at Wayfair. You will design and deploy large-scale machine learning systems that power personalization, recommendations, search, marketing decisioning, GenAI experiences, and other customer-facing products.

Working closely with engineers, product managers, platform teams, and fellow scientists, you will own highly ambiguous technical problems from research through production. You will shape technical strategy, mentor scientists through technical leadership, and help bring state-of-the-art machine learning research into production for millions of customers. The solutions you build will become foundational capabilities that are reused across multiple customer technology domains, enabling personalization and intelligent decision-making throughout the Wayfair ecosystem.

What You’ll Do

- Lead the design, development, and deployment of large-scale machine learning systems across personalization, recommendations, search, ranking, generative AI, and customer decisioning.

- Drive technical strategy and architecture for foundational ML capabilities that are reused across multiple customer-facing products.

- Evaluate and adapt the latest advances in recommendation systems, representation learning, large language models, reinforcement learning, and foundation models to solve real-world customer problems.

- Partner closely with engineering and platform teams to productionize scalable ML systems and establish best practices for model training,



inference, monitoring, and lifecycle management.

- Lead experimentation through offline evaluation, online A/B testing, and long-term measurement of business impact.

- Influence technical direction across multiple teams through architecture reviews, technical design, and cross-functional collaboration.

- Mentor scientists and engineers through technical guidance, design reviews, and scientific leadership.

- Contribute to Wayfair's broader applied science community by raising technical standards and sharing best practices.

What You’ll Need

- PhD in Computer Science, Mathematics, Statistics, or a related field with 5+ years of relevant industry experience, or a Master's degree with 9+ years of relevant industry experience, or a Bachelor's degree with 10+ years of relevant industry experience building and deploying large-scale machine learning systems.

- 4+ years of experience providing technical leadership for large-scale machine learning systems.

- Solid theoretical understanding and practical experience applying statistical, optimization, deep learning, and machine learning techniques, including transformer-based models, to production systems at scale.

- Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow to develop production-grade machine learning systems.

- Demonstrated ability to influence technical strategy, drive cross-functional alignment, and shape multi-quarter technical roadmaps.

- Intellectual curiosity and a desire to always be learning!

Nice to have

- Experience building personalization, recommendation, retrieval, ranking, optimization, or customer decisioning systems.

- Experience with representation learning, embeddings, transformer architectures, sequence models, or foundation models.

- Experience applying LLMs, generative AI, or reinforcement learning to customer-facing products.

- Experience building large-scale distributed training, retrieval, and inference systems on cloud-native ML platforms.

Assistance for Individuals with Disabilities




Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

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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 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.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

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 [email protected].

📌 Senior Machine Learning Scientist - Customer Technology (Bengaluru)
🏢 Wayfair
📍 Bengaluru