Wayfair · 2 months ago
Machine Learning Scientist III, Recommendations
Mountain View, CA
Full-time
Hybrid
Senior Level
5+ years expWayfair is one of the world’s largest online destinations for the home, and they are seeking an experienced Machine Learning Scientist III to join their content recommendations team. In this role, you will develop and optimize ML-based recommender systems to enhance customer experience, collaborating with cross-functional teams to deploy cutting-edge models at scale.
Consumer GoodsE-CommerceFurnitureHome DecorRetail
Responsibilities
Develop and optimize recommendation models that power personalized experiences across Wayfair’s site, app, email, and push notifications
Conduct applied research to improve recommender systems using traditional ML techniques, deep learning and reinforcement learning
Build scalable ML pipelines for training, evaluation, and inference, ensuring models operate efficiently in production
Work closely with engineering teams to deploy models in a production environment, addressing real-world constraints such as latency, interpretability, and scalability
Analyze model performance and iterate based on A/B test results, offline evaluation metrics, and business impact
Leverage and contribute to open-source ML frameworks while staying up to date with cutting-edge research in recommendation systems
Drive innovation by identifying opportunities to improve personalization strategies and developing novel algorithms that enhance customer engagement
Collaborate with cross-functional teams including product managers, software engineers, and data scientists to align ML objectives with business goals
Mentor other less experienced scientists on the team
Qualification
Required
5+ years of experience developing and deploying machine learning models, with a focus on recommendations, ranking, or personalization
Strong theoretical understanding of machine learning and deep learning applied to large-scale recommendation problems
Experience in training, evaluating, and optimizing recommendation models in production, leveraging techniques such as collaborative filtering, sequence modeling, representation learning and multi-armed bandits
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
Familiarity with big data processing (Spark, Hadoop) and ML pipeline orchestration (Airflow, Kubeflow, MLflow)
Strong coding skills and familiarity with building scalable ML systems in cloud environments (AWS, GCP, Azure)
Ability to design experiments and analyze results using A/B testing and statistical techniques
Excellent communication skills, with the ability to explain complex ML concepts to non-technical stakeholders and drive data-driven decisions
Preferred
Experience developing core recommendation systems for eCommerce, marketplaces, or streaming platforms
Familiarity with reinforcement learning or contextual bandits for adaptive recommendation strategies
Benefits
Paid Holidays
Paid Time Off (PTO)
Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
Life Insurance
Disability Protection (Short Term & Long Term Disability)
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
Caregiver Services
401K Matching (Employee Matching Program)
Tuition Reimbursement
Financial Health Education (Knowledge of Financial Education - KOFE)
Tax Advantaged Accounts
Family Planning Support
Parental Leave
Global Surrogacy & Adoption Policy
Rewards & Recognition
Global Employee Anniversary Awards
Paid Volunteer Work
Employee Discount
U.S. Bluebikes Membership
Global Pod Outings
Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Company
Wayfair
Wayfair is a retail store that offers a wide range of home products such as outdoor, bedding, lighting, and appliances with online services.
10001+ employees
H1B Sponsorship
Wayfair has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (213)
2024 (230)
2023 (271)
2022 (636)
2021 (497)
2020 (331)
Funding
Current Stage
Public CompanyTotal Funding
$4.48BKey Investors
T. Rowe PriceSpark Capital
2025-11-04Post Ipo Debt· $700M
2025-03-11Post Ipo Debt· $700M
2024-09-24Post Ipo Debt· $800M
Leadership Team
Niraj Shah
CEO and Co-founder
Fiona Tan
Chief Technology Officer
Recent News
2026-02-06
Android Authority
2026-02-05
2026-02-04
Company data provided by crunchbase