Machine Learning Scientist III
Wayfair · Posted Oct 14
Online retail platform for home furnishings, furniture, decor, and housewares
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About the role
The Customer Technology (CT) Science team at Wayfair builds and owns machine learning products that power search, marketing, and recommendations across the Wayfair marketplace, working at web scale with more than 3,000 Wayfair engineers and a data-centric culture. The team's algorithms address challenges ranging from catalog onboarding for suppliers to product discovery and marketing experiences for customers. This role will develop the next generation of personalization and customer understanding systems, building large-scale models that learn from billions of customer interactions to improve content recommendations, personalized search, and product discovery, owning ML solutions end to end from problem definition through production deployment.
What you will do
- Design, train, evaluate, and deploy large-scale machine learning models for customer understanding, personalization, search, and recommendations.
- Evaluate and adapt advances in recommendation systems, representation learning, large language models, and foundation models to solve practical customer and business problems.
- Develop rigorous offline evaluation frameworks and design online A/B tests to measure customer and business impact.
- Collaborate with product, engineering, and analytics teams to translate ambiguous customer needs into well-defined machine learning problems.
- Partner with engineers to productionize models and build reliable, scalable training and inference pipelines.
- Monitor model performance, identify opportunities for improvement, and continuously iterate on models in production.
Skills used in this role
What the employer is looking for
- A bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field with 6+ years of relevant industry experience; or a master’s degree in a related field with 4+ years of relevant industry experience.
- Proven experience building and deploying machine learning models in production at scale.
- Strong knowledge of machine learning, statistics, optimization, and modern deep learning techniques.
- Experience designing, training, and evaluating models using large-scale datasets.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow.
- Strong software engineering fundamentals and experience partnering with engineering teams to build reliable, scalable ML systems.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to a range of audiences.
- Intellectual curiosity and a commitment to continuous learning.
Preferred qualifications
- Experience building recommender systems, personalization models, retrieval and ranking systems, or customer understanding models.
- Experience with representation learning, embeddings, contrastive learning, sequence modeling, or transformer architectures.
- Experience with distributed model training and large-scale retrieval and inference pipelines.
- Experience with cloud platforms such as GCP, AWS, or Azure.
- Familiarity with MLOps and workflow orchestration tools such as Airflow, Kubeflow, MLflow, or Vertex AI.
- Experience applying large language models or generative AI techniques to personalization, search, or recommendation problems.
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
- 2026-05-13Post Ipo Debt$700M
Leadership
Co-Founder, Chief Executive Officer, and Co-Chairman
Co-Founder and Co-Chairman
Chief Financial Officer and Chief Administrative Officer
Chief Technology Officer
President
Recent coverage
Wayfair Newsroom
Wayfair Launches 'Wayfair Delivers,' a New Brand Platform Focused on the Moments That Matter Most at Home2026-09-21
Wayfair Newsroom
Wayfair Marks Major Milestone with Plans for 10th Store2026-08-26
Wayfair Newsroom
Wayfair Announces Second Quarter 2026 Results, Reports Strongest Free Cash Flow Since 20202026-08-04
Wayfair Newsroom
Wayfair Expands Northeast Footprint with Princeton, New Jersey Store2026-06-18