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About
Software Engineer II, Machine Learning
role at
Wayfair The Catalog Algo Engineering team at Wayfair accelerates growth by solving core challenges in product data quality and catalog intelligence at scale. We build capabilities that power the customer browsing experience (such as visual search and personalized recommendations), including filter?driving product tagging, dimension accuracy checks, AI?generated review summaries, and product image classification. We also streamline supplier onboarding through automated validation and agentic GenAI workflows. Leveraging Generative AI, multi?modal models, and intelligent data pipelines, we transform merchandising strategy into accurate, consistent, and enriched product datareducing manual effort and elevating the end?to?end shopping journey. We are looking for a strong Software Engineer with a solid technical foundation, curiosity for ML/GenAI, and a proactive, execution?first mindset. In this role, you will work closely with machine learning scientists and ML engineers to design, build, and scale the systems that bring advanced models into production. You will help transform cutting?edge researchspanning deep learning, vision?language models, and Generative AI agentic workflowsinto reliable, high?performance services that operate at massive scale. You will contribute across the stack by building data pipelines, model services, orchestration workflows, and cloud?native infrastructure that support millions of products and requests. If youre passionate about collaborating with scientists, building scalable ML/GenAI systems, and delivering real?world business impact through engineering excellence, this role is a perfect fit. What Youll Do Design, build, and maintain scalable, event?driven, and batch data pipelines using Python, Golang, SQL, BigQuery and big data technologies (Spark, Dataflow, etc.). Partner closely with data scientists and ML engineers to build, deploy, and evolve services encapsulating ML & GenAI models at scale. Implement efficient data and algorithm pipelines to process millions of products and requests. Architect, build, and manage robust data models and infrastructure on Google Cloud Platform (GCP), including BigQuery, Dataflow, Pub/Sub, and GKE. Build and manage the CI/CD, orchestration (Kubernetes, Airflow/Composer), and infrastructure that power ML systems. Collaborate cross?functionally with product managers, data scientists, analysts, and other engineers to understand requirements and deliver scalable solutions. Promote best practices around data quality, reliability, and performance for large?scale datasets. Contribute to engineering standards, documentation, and code quality across the team.
We Are A Match Because You Have
3+ years of hands?on experience in software engineering or data engineering roles. Strong Python skills for data processing or backend development (Pandas, PySpark, etc.). Advanced SQL skills and practical experience with cloud data warehouses such as BigQuery. Hands?on experience building scalable systems on GCP (BigQuery, Dataflow, Pub/Sub, GCS, Dataproc, Vertex AI). Experience with big data technologies (Spark, Hadoop, MapReduce) and messaging systems (Kafka, Pub/Sub). Experience with containerization (Docker) and orchestration platforms (Kubernetes). Exposure to ML infrastructure or deploying ML/GenAI models into production environments. Ability to evaluate trade?offs across technologies, design patterns, and system architectures. Strong communication skills and ability to work effectively with cross?functional partners.
Experience using modern IDEs and AI?assisted development tools (e.g., Cursor, GitHub Copilot) to accelerate development. 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
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 Accommodations 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 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 industry?leading technology and creative problem?solving, 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, 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. 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 (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 dataprotectionofficer@wayfair.com. #J-18808-Ljbffr
Languages
- English
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