Lead Applied ML Scientist Search
Lead Applied ML Scientist Search
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1 Vacancy
Job Description
Candidates for this position are preferred to be based in Mountain View CA and will be expected to comply with their teams hybrid work schedule requirements.
Who we are:
The Search and Recommendations Machine Learning (ML) team is at Wayfair is at the forefront of designing and implementing algorithms that define our global search experience. Using cuttingedge machine learning approachesincluding advanced NLP semantic search and multimodal technologieswe aim to deliver fast accurate and personalized search results for over 22 million active customers. Our mission is to make the search experience intuitive and efficient helping customers discover exactly what they need in a vast and diverse product catalog.
Hiring Leader : Patrick Phelps Youll Do:
- Enhance search relevance: Design and implement scalable ML models that improve the relevance ranking and personalization of search results across Wayfairs platforms.
- Optimize retrieval systems: Develop and finetune search retrieval techniques to improve performance and scalability in handling webscale customer queries.
- Advance query understanding: Apply advanced NLP techniques to enhance query parsing intent recognition and semantic understanding for diverse user inputs.
- Innovate search experiences: Explore and implement graphbased learning semantic embeddings and multimodal techniques to power nextgeneration search systems.
- Collaborate crossfunctionally: Work closely with product managers engineers and data scientists to ensure alignment of search system improvements with business goals.
- Solve unique search challenges: Address searchspecific issues such as coldstart problems longtail queries and realtime search performance optimization.
- Contribute to the community: Share expertise through internal forums author technical documentation and represent Wayfair at leading ML conferences such as NeurIPS.
We Are a Match Because You Have:
- Expertise in search technologies including retrieval ranking systems and query understanding.
- Strong proficiency in Python and/or Java for building and deploying MLdriven search systems.
- Deep understanding of NLP techniques semantic search and embeddingbased retrieval.
- Proven ability to execute and deliver largescale searchrelated ML projects including roadmap development and implementation.
- Strong knowledge of statistical modeling experimental design hypothesis testing or optimization.
- Experience with cloudnative technologies; familiarity with GCP and Vertex AI is a plus.
- Advanced problemsolving skills focused on tackling searchspecific challenges like personalization scalability and accuracy.
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 environmentthat encourages a balance between personal and professional commitments
The salary range for this position is $207000 $230000* however base pay offered may vary depending on location jobrelated knowledge skills and experience. Restricted stock units may be provided as part of the compensation package in addition to a full range of medical financial and/or other benefits dependent on the position offered. This information is provided per individual states pay transparency laws.
We are looking forward to your application!
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 industryleading technology and creative problemsolving 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 risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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
