Machine Learning Manager Catalog Enrichment
Machine Learning Manager Catalog Enrichment
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Job Description
About this role:
Wayfairs catalog spans hundreds of millions of products each with its own critical details color material dimensions weight that power search filters recommendations and the entire onsite shopping experience. Generating this data without creating a tremendous burden on suppliers and merchants and keeping that data clean and structured at this scale is a massive challenge and were tackling it with generative models agentic workflows and multimodal deep learning.
Were looking for a strong ML leader to drive the future of AIpowered catalog enrichment. Your team will develop largescale machine learning systems that automate metadata extraction clean up inconsistencies and evaluate their own performance. Youll work at the intersection of LLMs languagevision models and scalable deep learning architectures to make product data more accurate reliable and completely automated.
If youre excited about leading highimpact ML teams building AI systems at a massive scale and working on realworld generative AI applications beyond chatbots this is the role for you.
What youll do:
- Lead a team of ML scientists driving AIpowered automation for product data structuring attribute extraction and metadata validationensuring our catalog remains accurate complete and scalable.
- Hire develop and coach top ML talent fostering expertise in generative AI multimodal deep learning and highscale ML deployments to push the boundaries of catalog intelligence.
- Collaborate with top AI research and industry leaders (e.g. Google Anthropic Snorkel AI) to explore cuttingedge techniques in LLMs data labeling automation and scalable ML workflows.
- Define and execute the AI/ML roadmap for catalog enrichment balancing cuttingedge research with costeffective productiongrade solutions.
- Leverage and finetune LLMs (e.g. OpenAI GPT Google Gemini Anthropic Claude) to build AIdriven classifiers product taggers and quality control mechanisms.
- Develop agentic AI workflows for automated schema definition dataset generation and LLMbased judgment systems to validate catalog data.
- Partner with crossfunctional teams across engineering data science and product to ensure AI solutions integrate seamlessly into catalog systems.
- Build scalable ML pipelines and realtime inference systems to tag and structure incoming product data efficiently.
- Optimize cost efficiency and scalability of AI models leveraging parameterefficient finetuning (LoRA QLoRA) knowledge distillation and hybrid ML approaches.
- Stay ahead of industry trends in catalog intelligence generative AI and autonomous ML agents integrating SOTA research into practical highimpact solutions.
Who you are:
- 6 years of experience (including 2 years as a lead/manager) developing and deploying ML models in largescale realworld settings.
- Strong deep learning expertise particularly in classification structured prediction and multimodal AI (text vision).
- Handson technical leader who can engage deeply in algorithm development model architecture and system design while empowering the team.
- Experience scaling ML solutions to handle 100M products focusing on cost efficiency accuracy and realtime performance.
- Proven ability to balance researchdriven innovation with practical productiongrade ML deployments.
- Track record of mentoring and coaching ML scientists across various experience levels.
- Strong business acumen capable of translating commercial objectives into AI/ML strategies with measurable impact.
- Deep understanding of LLMs generative AI and finetuning techniques with handson experience using models like GPT Gemini Claude or Llama.
- Familiarity with ML Ops cloud infrastructure and engineering best practices (Airflow Kubeflow MLFlow Kubernetes Spark Python SQL).
Nice to have:
- Experience working in ecommerce catalog AI systems retail data structuring or largescale product classification.
- Background in autonomous AI agents reinforcement learning or online learning systems.
- Research publications in deep learning structured prediction or generative AI.
This position offers a unique opportunity to define the future of AIdriven catalog intelligence at scale. If you are passionate about leading cuttingedge AI teams and solving largescale ML challenges wed love to hear from you!
If you dont meet every qualification listed we still encourage you to apply. Were looking for strong leaders who can learn grow and make an impact.
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
Massachusetts Applicants: I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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.
Required Experience:
Manager
Employment Type
Full Time
