Machine Learning Scientist II
Wayfair · Bengaluru
- Experience3–5 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted2 Sept 2026
About Wayfair
Wayfair is hiring in Bengaluru in ecommerce retail. This role looks for around 3+ years of experience.
Skills
- machine learning
- statistical modeling
- search retrieval
- ranking
- relevance
- query understanding
- natural language processing
- recommender systems
- Python
- pandas
- NumPy
- scikit-learn
- XGBoost
- production machine learning
- regression
- clustering
- decision trees
- neural networks
The role
A machine learning scientist at an e-commerce product company designs and deploys large-scale models for search relevance, query understanding, recommendations, and emerging generative AI capabilities using machine learning, natural language processing, and Python. The role applies statistical modeling and production machine learning to customer-facing discovery systems and commercial opportunities.
Full job description
We are looking for Machine Learning Scientists for research and development of the ML systems that power our real-time Search Typeahead, Search Guidance, Query Understanding and Interpretation, Query Refinement and Recommendations, and emerging GenAI-powered search capabilities. In this role, you'll partner with fellow scientists, engineers, analysts, and product managers to apply science and machine learning skills to directly impact Wayfair's revenue.
Responsibilities:
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.
Requirements:
3+ years of industry experience with a Bachelor's/Master's degree or a minimum of 1-2 years of industry experience with a PhD in Computer Science, Mathematics, Statistics, or a related field.
Strong theoretical understanding of statistical models such as regression and clustering and ML algorithms such as decision trees, neural networks, etc.
Solid understanding of algorithms for search retrieval, ranking, relevance, query understanding, 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.