Machine Learning Scientist - Catalog Science Foundations
Machine Learning Scientist - Catalog Science Foundations
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1 Vacancy
Job Description
The Catalog Science Foundations team at Wayfair drives growth by tackling fundamental challenges ranging from multimodal product understanding product relationships modeling to GenAIdriven catalog intelligence at scale. Our team provides the core capabilities that are crucial for enhancing the customer browse experience (e.g. visual search recommendations) streamlining supplier product onboarding (e.g. product classification image and content tagging) informing catalog competitiveness and ultimately delivering significant impact for our customers suppliers and Wayfair.
We are looking for a strong Machine Learning Scientist with deep technical expertise and a proactive actionoriented mindset. In this role you will be instrumental in developing and refining the advanced models and systems that power our core mission. You will contribute to a diverse range of initiatives by applying cuttingedge deep learning techniques visionlanguage models and Generative AI agentic workflows. You will work in close collaboration with a highly capable crossfunctional team to tackle complex highimpact challenges and help pioneer innovative solutions.
If you are passionate about working on cuttingedge AI problems building scalable machine learning systems that solve realworld challenges and directly contributing to significant business impact this is the role for you.
What youll do:
- Research and experiment with stateoftheart multimodal understanding techniques and algorithms. Design and implement evaluation strategies applied to realworld scenarios tailored to Wayfair use cases.
- Leverage and finetune LLMs (e.g. OpenAI GPT Google Gemini Anthropic Claude Open Source) to build AIdriven classifiers product taggers and quality control mechanisms.
- Develop and refine the visual search system leveraging cutting edge technologies in computer vision vision language models and the large scale data orchestration.
- Implement AIpowered automation for product data structuring attribute extraction and metadata validationensuring our catalog remains accurate complete and scalable.
- 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.
- Develop agentic AI workflows for automated schema definition dataset generation production relationship modeling and LLMbased judgment systems to validate catalog data.
- Partner with crossfunctional teams across engineering scientists and product to ensure AI solutions integrate seamlessly into catalog systems.
- Optimize cost efficiency and scalability of AI models leveraging parameterefficient finetuning (LoRA QLoRA) knowledge distillation and hybrid ML approaches.
Who you are:
- PhD with 01 years of experience or Masters in Computer Science Machine Learning or a related quantitative field with 2 years of fulltime industry experience in applied research.
- Proven track record of delivering successful machine learning projects from conception to production demonstrating strong deployment problemsolving and maintenance skills.
- Deep understanding of both traditional Machine learning approaches and deep learning techniques reinforcement learning and multimodal understanding.
- Deep understanding of LLMs generative AI and finetuning techniques and RetrievalAugmented Generation (RAG) techniques with handson experience using models like GPT Gemini Claude etc.
- Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting processing and transforming data.
- Professional coding expertise in languages like Python and Go proficiency in SQL and experience with data visualization tools; skilled in using ML frameworks (TensorFlow PyTorch) and implementing CI/CD containerization and version control best practices.
- Familiarity with ML Ops cloud infrastructure and engineering best practices (Airflow Kubeflow MLFlow Kubernetes Spark Python SQL).
- Excellent communication skills with the ability to clearly articulate complex AI concepts to nontechnical stakeholders while collaborating across teams.
- Demonstrated ability to quickly learn new tools and techniques in a fastpaced evolving environment while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research.
Nice to have:
- Research publications in deep learning computer vision or generative AI.
- 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.
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
If you dont meet every qualification listed we still encourage you to apply. Were looking for strong team players who can learn grow and make an impact.
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
