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Machine Learning Scientist II

Wayfair · Posted Sep 28

Online retail platform for home furnishings, furniture, decor, and housewares

Bengaluru, Karnataka, IndiaFull-timeOnsiteMid Level2–5 years₹35.0L–₹55.0L yearly100+ applicants
E-CommerceRetailHome GoodsFurniturePublic Company
Full time

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About the role

Wayfair is a data-centric home goods marketplace enabled by more than 3,000 engineers, and the Customer Technology (CT) team builds and owns machine learning products that power search, marketing, personalization, and recommendations across the Wayfair marketplace. The team's algorithms span challenges from helping suppliers add products to the catalog to enabling customers to discover and purchase a diverse assortment of home goods at web scale. This role focuses on research and development of ML systems for customer understanding and personalization, including customer embeddings, recommendation systems, user interest prediction, generative recommendation, and short- and long-term customer preference identification, in partnership with scientists, engineers, analysts, and product managers.

What you will do

  • Design, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for customers
  • Work cross-functionally with engineers, analysts, product managers and commercial stakeholders to understand business problems, opportunities and develop appropriately scoped ML solutions
  • Collaborate closely with various infrastructure, and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML services
  • Build cutting edge robust ML models and systems that directly impact our customers every day
  • 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

Skills used in this role

PythonNumPyscikit-learnPyTorchXGBoostMachine LearningDeep LearningNLPReinforcement LearningRecommendation SystemsClusteringTime SeriesLLMsRetrieval SystemsGenerative ModelsAgentic AIGCPAWSAzureAirflowKubeflowVertex AIKubernetesDocker

What the employer is looking for

  • Bachelor's degree with 3-5 years or Master's degree with 2-4 years of experience in Computer Science, Mathematics, Statistics, or related field
  • Proficiency in Python or one other high-level programming language.
  • A strong theoretical understanding and solid hands-on experience working with machine learning algorithms.
  • Classical ML and deep learning techniques across NLP, sequence modeling, RL, Recommendation systems, clustering, and time series.
  • Experience with Python ML ecosystem (numpy, sklearn, pytorch, XGBoost, etc.)
  • Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficiency
  • Intellectual curiosity and enthusiasm about continuous learning

Preferred qualifications

  • Designing end-to-end ML solutions from prototype to production.
  • Experience in deploying ML workflows/models in production system
  • Building or experimenting with LLMs, retrieval systems, generative models, and agentic AI workflows
  • Familiarity with cloud based compute approaches GCP (or AWS, Azure), ML model development frameworks, and ML orchestration tools (Airflow, Kubeflow, VertexAI, etc)
  • Experience with Kubernetes and Docker
  • Clear track record of publishing or work related projects showing ability to develop cutting edge AI systems.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Wayfair

Wayfair is a leading online e-commerce platform specializing in home furnishings, decor, home improvement, and housewares. The company offers millions of items from thousands of global suppliers, serving customers across North America and Europe. Wayfair also operates several specialty and luxury retail brands including AllModern, Birch Lane, Joss & Main, and Perigold.

Industry
E-Commerce
Company size
10001+ employees
Founded
2002
Location
Boston, Massachusetts, USA
Funding stage
Public Company

Funding

Public Company · $4.9B raised

Great Hill Partners
  • 2026-05-13Post Ipo Debt$700M

Leadership

NS
Niraj Shah

Co-Founder, Chief Executive Officer, and Co-Chairman

SC
Steve Conine

Co-Founder and Co-Chairman

KG
Kate Gulliver

Chief Financial Officer and Chief Administrative Officer

FT
Fiona Tan

Chief Technology Officer

JB
Jon Blotner

President