Machine Learning Scientist II, Predictive Search & Guidance
Machine Learning Scientist II, Predictive Search & Guidance
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Job Description
Location: Candidates for this position are preferred to be based in Bangalore India and will be expected to comply with their teams hybrid work schedule requirements.
Job Title: Machine Learning Scientist II Predictive Search & Guidance
Who we are
Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3000 Wayfair engineers and a data-centric culture. The Search Marketing and Recommendations technology science team (SMART) 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 machine-learning scientists for research and development of the ML systems that power our real-time Search Type-ahead Search Guidance Query Refinement and Recommendation and Query Understanding and Interpretation this role youll partner with fellow scientists engineers analysts and product managers to apply science and machine learning skills to directly impact Wayfairs revenue.
What youll do
- Design build deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers
- Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions
- Collaborate closely with various engineering infrastructure and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services
- Identify new opportunities and insights from the data (where can the models be improved what is the projected ROI of a proposed modification)
- 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 youll need
- 3 years of industry experience with a Bachelor/ Masters degree or minimum of 1-2 years of industry experience with PhD in Computer Science Mathematics Statistics or related field.
- Strong theoretical understanding of statistical models such as regression clustering and ML algorithms such as decision trees neural networks etc.
- Solid understanding of algorithms for search ranking relevance NLP or recommender systems.
- Good proficiency in the Python ML ecosystem (pandas NumPy scikit-learn XGBoost etc.).
- Solid hands-on expertise deploying machine learning solutions into production
- Strong written and verbal communication skills.
- Intellectual curiosity and enthusiasm about continuous learning.
Nice to have
- Experience in e-commerce or online search systems.
- Knowledge of modern NLP techniques (transformers embeddings semantic search).
- Experience applying Generative AI / LLMs (e.g. GPT LLaMA) to real-world problems such as search personalization or content generation.
- Experience with deep learning frameworks like PyTorch.
- Familiarity with vector databases information retrieval frameworks (e.g. Elasticsearch Vespa)
- Familiarity with GCP (or AWS Azure) ML model development frameworks ML orchestration tools (Airflow Kubeflow or MLFlow)
- Experience with Apache Spark Ecosystem (Spark SQL MLlib/Spark ML).
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.
No matter who you are Wayfair is a place you can call home. Were 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. Thats why were 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 ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full Time
