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Senior Machine Learning Scientist

Wayfair · Posted Oct 26

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

Bengaluru, Karnataka, IndiaFull-timeOnsiteSenior Level5+ years₹70.0L–₹1.2Cr yearly41 applicants
E-CommerceRetailHome GoodsFurniturePublic Company
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About the role

The Customer Technology (CT) science team at Wayfair builds and owns the machine learning products that power search, marketing, and recommendations across the Wayfair marketplace. The team works on large-scale AI systems spanning personalization, recommendations, search, ranking, generative AI, and customer decisioning. This role leads the design and deployment of large-scale machine learning systems, shapes technical strategy, and mentors scientists while bringing state-of-the-art research into production for millions of customers.

What you will 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.

Skills used in this role

PythonPyTorchTensorFlowMachine LearningDeep LearningStatisticsOptimizationTransformer ModelsRecommendation SystemsRepresentation LearningLarge Language ModelsReinforcement LearningFoundation ModelsEmbeddingsSequence ModelsGenerative AIA/B TestingCloud-Native ML PlatformsTechnical LeadershipMentoringCross-Functional Collaboration

What the employer is looking for

  • 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.
  • Strong 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!

Preferred qualifications

  • 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.

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

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