Senior Machine Learning Scientist - GenAI & Agentic AI

Who We Are Wayfairu2019s mission is to enable everyone to live in a home they love. Achieving this at scale requires sophisticated, trustworthy, and deeply integrated AI systems across the entire business. Within the Science organization, we are building the next generation of agentic AI systems that operate across supply chain, customer outreach, supplier and carrier interactions, catalog management, and merchandising operations. We are looking for a GenAI & Agentic AI Scientist to define and drive the technical strategy, system design, and evaluation frameworks for agentic AI at Wayfair. This is a highly visible, high-impact role for a technical leader who can operate at the intersection of research, engineering, and business decision-making. What Youu2019ll Do Set Strategy & Technical Direction + Partner with leadership to drive the company-wide technical strategy for agentic AI systems , defining architectural standards, design patterns, and best practices that enable scalable, safe, and maintainable AI agents. + Act as the lead designer for agentic AI systems spanning supply chain, customer service, supplier and carrier outreach, physical retail, catalog management, merchandising operations, and many other departments. + Identify where agentic AI delivers the most value u2014 and push back when alternative ML, automation, or non-AI solutions are more appropriate. Lead System Design & Evaluation + Design and standardize measurement, validation, and evaluation frameworks for agentic AI systems, including: + Task success and business impact metrics + Quality, reliability, and failure-mode analysis + Human-in-the-loop review and escalation strategies + Offline and online evaluation methodologies + Establish rigorous approaches to trust, safety, and governance for agentic systems, ensuring outputs are reliable, auditable, and aligned with business constraints. Technical Leadership & Execution + Tech-lead the evolution of Wayfairu2019s existing production GenAI products, unifying architectures and implementation patterns to accelerate feature development, extensions, and long-term maintenance. + Guide our team and partners on agentic system design , including planning, internal and external systems tool use, agent orchestration, cross-agent communication, and multi-agent coordination. + Provide senior-level technical leadership through architecture reviews, code reviews, and design forums across multiple teams. Stakeholder Partnership & Influence + Work directly with senior business, product, and technology stakeholders to: + Translate ambiguous business problems into well-scoped AI system designs + Vet technical approaches and tradeoffs + Align AI investments with measurable business outcomes + Serve as a trusted technical advisor, clearly communicating complex GenAI concepts and influencing decisions at multiple levels of the organization. Raise the Bar for GenAI at Wayfair + Stay deeply current with advances in LLMs, agentic AI, evaluation methods, and LLMOps, proactively introducing new techniques where they provide real business value. + Mentor and grow other ML scientists, shaping technical culture and raising the overall bar for GenAI rigor and impact across the organization. What Youu2019ll Need Core Qualifications + PhD with significant industry experience, or Masteru2019s degree in Computer Science, Machine Learning, AI, or a related quantitative field with 10+ years of applied ML experience , including senior or staff-level technical leadership . + Deep expertise in Generative AI, LLMs, and agentic AI systems , including hands-on experience designing and deploying production systems. + Proven ability to design end-to-end AI systems , from problem formulation and data strategy through deployment, evaluation, and long-term ownership. + Strong software engineering skills in Python; deep familiarity with ML frameworks (PyTorch, TensorFlow), agentic frameworks (Langgraph, ADK), data systems, and production AIops infrastructure. + Demonstrated experience influencing technical direction across multiple teams and organizations without direct authority. Technical Depth + Strong understanding of: + Agent architectures (planning, tool use, collaboration, orchestration) + Trade-offs between agentic flexibility and deterministic executions in the runtime + LLMOps, CI/CD, monitoring, and automated evaluation + Experience building scalable data pipelines and working closely with data engineering and platform teams. + Track record of designing robust evaluation frameworks for complex, non-deterministic AI systems. Communication & Leadership + Exceptional communication skills, with the ability to explain complex AI tradeoffs to technical and non-technical audiences. + Strong judgment and backbone to challenge assumptions , push back on stakeholders, and guide teams toward the highest-value solutions. + Passion for mentorship, technical excellence, and building durable systems that scale across products and organizations. Nice to Have + Prior experience setting GenAI or agentic AI strategy at a large organization. + Publications or thought leadership in AI, ML systems, or applied GenAI. + Experience with trust, safety, or governance frameworks for AI systems. + Familiarity with large-scale distributed systems and multi-tenant ML platforms. Why Youu2019ll Love Working With Us + A rare opportunity to define how agentic AI is built and governed across an entire enterprise + Early adopters of cutting-edge GenAI technology within Wayfair + High trust, high impact role with visibility across business and technology leadership + Hackathons, learning culture, and room to experiment with new ideas Please note this is a hybrid positions based in Boston, MA. We are in-office Tuesday-Thursday and remote on Monday and Friday. 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 (. Need Technical Assistance? For more information about applying for a career at wayfair, visit our FAQ page here (. About Wayfair Inc. Wayfair is one of the worldu2019s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, weu2019re 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 youu2019re looking for rapid growth, constant learning, and dynamic challenges, then youu2019ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Weu2019re 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 u2013 and world u2013 for all. Every voice, every perspective matters. Thatu2019s why weu2019re 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 .

Created: 2026-04-04