Who We Are
We are seeking a highly analytical, action-oriented AI Scientist to design and deploy innovative AI solutions for Wayfair’s Customer Service team. In this role, you will apply large language models (LLMs) and LLMops expertise to transform complex customer service challenges into scalable, AI-driven tools that boost agent efficiency and elevate customer satisfaction. Success in this role requires comprehensive experience and deep expertise in Generative AI and Natural Language Processing, strong problem-solving skills, and the ability to work effectively across cross-functional teams. The ideal candidate is proficient in both qualitative and quantitative analysis and excels at communicating insights to drive meaningful business outcomes.
What You’ll Do
Research and experiment with state-of-the-art generative AI techniques and algorithms, evaluating their performance on benchmark datasets and real-world scenarios.
Conduct exploratory data analysis to uncover data patterns, relationships, and key features for model training.
Develop and deploy machine learning models in production by collaborating with software engineers and using robust CI/CD practices; ensure these models are scalable, secure, and continuously monitored for performance with effective troubleshooting.
Contribute to architectural and code review discussions to enhance our engineering ecosystem.
Develop, fine-tune, and implement GenAI models to improve customer service interactions, such as smart chatbots and agentic AI tools, ensuring they align with Wayfair’s data and context.
Apply advanced prompt engineering and domain-specific fine-tuning to boost AI model response relevance and performance in customer service scenarios, using experiments to benchmark improvements.
Collaborate with product managers, customer service operations, data engineers, and other stakeholders to translate business needs into technical solutions that integrate smoothly into agent workflows.
Develop key success metrics and build evaluation frameworks to regularly assess model output quality, using data-driven insights to continuously enhance AI capabilities.
Stay current with the latest research in GenAI, transformer architectures, and agentic AI, proactively experimenting with new techniques and tools to champion ideas that enhance Wayfair’s customer service experience.
What You’ll Need
PhD with 0-1+ years of experience or Master’s in Computer Science, Data Science, Machine Learning, or a related quantitative field with 2+ years of full-time industry experience in applied research.
Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data.
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.
Professional coding expertise in languages like Python and R, 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.
Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges.
Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems.
Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams.
Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research.
Assets:
Experience with agentic AI systems and LLMOps principles for model lifecycle management, performance evaluation, and automated testing.
A PhD in AI or a strong publication record in top conferences and journals
Generalist MLS, L2 - Generalist (all orgs)
By applying to this position, your application is automatically considered for the range of Machine Learning Scientist II roles we have at Wayfair. This includes Search & Recommendations, Global Supplier Technology, and Supply Chain. If we think you might be a fit, a recruiter will reach out to learn more about your background and discuss relevant positions in more detail.
Candidates for this position are to be based, or plan to relocate, to Boston, MA and will be expected to comply with their team's hybrid work schedule requirements. Our teams are onsite in our Boston office Tuesday-Thursday, and remote Monday and Friday.
Who We Are:
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.
What You’ll Do:
Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers
Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions
Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services
Build robust monitoring, alerting, edge-case handling mechanism
Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)
Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on
We Are a Match Because You Have:
Minimum 0-1 years of experience with PhD, or 3+ years of industry experience with MSc/BaSc in STEM - engineering, computer science, economics, etc.
Proficiency in Python or one other high-level programming language
Must have a strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production.
Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
Intellectual curiosity and enthusiastic about continuous learning
Nice to Have:
Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)
Experience with Spark, Kubernetes, Docker are nice to have
Machine Learning Scientist, L2 - GST
The Catalog Science Foundations team at Wayfair drives growth by tackling fundamental challenges ranging from multi-modal product understanding, product relationships modeling, to GenAI-driven 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, action-oriented 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 cutting-edge deep learning techniques, vision-language models, and Generative AI agentic workflows. You will work in close collaboration with a highly capable, cross-functional team to tackle complex, high-impact challenges and help pioneer innovative solutions.
If you are passionate about working on cutting-edge AI problems, building scalable machine learning systems that solve real-world challenges, and directly contributing to significant business impact, this is the role for you.
Research and experiment with state-of-the-art multi-modal understanding techniques and algorithms. Design and implement evaluation strategies applied to real-world scenarios tailored to Wayfair use cases.
Leverage and fine-tune LLMs (e.g., OpenAI GPT, Google Gemini, Anthropic Claude, Open Source) to build AI-driven 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 AI-powered automation for product data structuring, attribute extraction, and metadata validation—ensuring our catalog remains accurate, complete, and scalable.
Collaborate with top AI research and industry leaders (e.g., Google, Anthropic, Snorkel AI) to explore cutting-edge techniques in LLMs, data labeling automation, and scalable ML workflows.
Develop agentic AI workflows for automated schema definition, dataset generation, production relationship modeling, and LLM-based judgment systems to validate catalog data.
Partner with cross-functional teams across engineering, scientists, and product to ensure AI solutions integrate seamlessly into catalog systems.
Optimize cost, efficiency, and scalability of AI models, leveraging parameter-efficient fine-tuning (LoRA, QLoRA), knowledge distillation, and hybrid ML approaches.
PhD with 0-1+ years of experience or Master’s in Computer Science, Machine Learning, or a related quantitative field with 2+ years of full-time industry experience in applied research.
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.
Deep understanding of both traditional Machine learning approaches and deep learning techniques, reinforcement learning, and multi-modal understanding.
Deep understanding of LLMs, generative AI, and fine-tuning techniques, and Retrieval-Augmented Generation (RAG) techniques, with hands-on 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 non-technical stakeholders while collaborating across teams.
Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research.
Research publications in deep learning, computer vision, or generative AI.
Experience working in e-commerce catalog AI systems, retail data structuring, or large-scale product classification.
Background in autonomous AI agents, reinforcement learning, or online learning systems.
Applied Scientist L2- GenAI
We are seeking a highly analytical, action-oriented AI Scientist to design and deploy innovative AI solutions for Wayfair’s Customer Service team. In this role, you will apply large language models (LLMs) and LLMops expertise to transform complex customer service challenges into scalable, AI-driven tools that boost agent efficiency and elevate customer satisfaction. Success in this role requires comprehensive experience and deep expertise in Generative AI and Natural Language Processing, strong problem-solving skills, and the ability to work effectively across cross-functional teams. The ideal candidate is proficient in both qualitative and quantitative analysis and excels at communicating insights to drive meaningful business outcomes.
What You’ll Do
Research and experiment with state-of-the-art generative AI techniques and algorithms, evaluating their performance on benchmark datasets and real-world scenarios.
Conduct exploratory data analysis to uncover data patterns, relationships, and key features for model training.
Develop and deploy machine learning models in production by collaborating with software engineers and using robust CI/CD practices; ensure these models are scalable, secure, and continuously monitored for performance with effective troubleshooting.
Contribute to architectural and code review discussions to enhance our engineering ecosystem.
Develop, fine-tune, and implement GenAI models to improve customer service interactions, such as smart chatbots and agentic AI tools, ensuring they align with Wayfair’s data and context.
Apply advanced prompt engineering and domain-specific fine-tuning to boost AI model response relevance and performance in customer service scenarios, using experiments to benchmark improvements.
Collaborate with product managers, customer service operations, data engineers, and other stakeholders to translate business needs into technical solutions that integrate smoothly into agent workflows.
Develop key success metrics and build evaluation frameworks to regularly assess model output quality, using data-driven insights to continuously enhance AI capabilities.
Stay current with the latest research in GenAI, transformer architectures, and agentic AI, proactively experimenting with new techniques and tools to champion ideas that enhance Wayfair’s customer service experience.
What You’ll Need
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related quantitative field.
Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data.
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.
Professional coding expertise in languages like Python and R, 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.
Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges.
Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems.
Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams.
Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research.
Assets:
Experience with agentic AI systems and LLMOps principles for model lifecycle management, performance evaluation, and automated testing.
A PhD in AI or a strong publication record in top conferences and journals in the field.
Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
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About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re 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 you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re 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. That’s why we’re 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 (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [email protected].
