Machine Learning Scientist III, Recommendations
Machine Learning Scientist III, Recommendations
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Job Description
The base pay for this position is $198000 - $220000 per year. The base pay offered may vary depending on location job-related knowledge skills and experience. Restricted stock units will be provided as part of the compensation package.
About this role
We are looking for an experienced Machine Learning Scientist III to join our content recommendations this role you will be at the core of building and optimizing ML-based recommender systems (e.g. image and content recommendations homepage and email optimization and personalization) to enhance the customer experience at Wayfair. Your work will directly impact how millions of customers discover and engage with products driving significant business value.
As part of Wayfairs SMART (Search Marketing and Recommendations Technology) team you will collaborate with ML scientists engineers and product teams to develop and deploy cutting-edge recommendation models that operate at scale. This role is an opportunity to solve complex problems related to personalization large-scale machine learning latency and scalability while leveraging state-of-the-art (SOTA) AI techniques.
What youll do
- Develop and optimize recommendation models that power personalized experiences across Wayfairs 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
Who you are
- 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.
Nice to have
- Experience developing core recommendation systems for eCommerce marketplaces or streaming platforms.
- Familiarity with reinforcement learning or contextual bandits for adaptive recommendation strategies.
This role offers the opportunity to work on high-impact ML problems at scale shaping the future of personalization and recommendations at Wayfair. If youre passionate about building intelligent systems that enhance customer experiences wed love to hear from you!
Why Youll Love Wayfair:
- Time Off:
- Paid Holidays
- Paid Time Off (PTO)
- Health & Wellness:
- 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
- Financial Growth & Security:
- 401K Matching (Employee Matching Program)
- Tuition Reimbursement
- Financial Health Education (Knowledge of Financial Education - KOFE)
- Tax Advantaged Accounts
- Family Support:
- Family Planning Support
- Parental Leave
- Global Surrogacy & Adoption Policy
- Professional Development & Recognition:
- Rewards & Recognition
- Global Employee Anniversary Awards
- Paid Volunteer Work
- Unique Perks:
- Employee Discount
- U.S. Bluebikes Membership
- Global Pod Outings
- Work/Life Balance:
- Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
- Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Wayfairs In-Office Policy:
All Mountain View-based interns co-ops and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days Tuesday Wednesday and Thursday and work remotely the other 2 days of the week.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were a community of innovators risk-takers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and well-positioned for success. We value and rely on the collective voices of our employees customers community and suppliers to help guide us as we build a better Wayfair and world for all. Every voice every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race color ethnicity ancestry religion sex national origin sexual orientation age citizenship status marital status disability gender identity gender expression veteran status genetic information or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full-Time
