Candidates for this position are preferred to be based in Bangalore, and will be expected to comply with their teams hybrid work schedule requirements. What You Will Do: Design, build, and maintain robust, scalable, and efficient backend services and APIs using Java, ensuring high performance and responsiveness for millions of users. Develop and optimize database queries, schema designs, and data models to support complex, large-scale applications. Write thoughtful, scalable, reusable, well tested and performant frontend code using frameworks such as React and Next Work closely with Product Managers, UX/UI Designers, and other stakeholders to define and implement technical solutions that meet business requirements. Write clean, scalable, and well-tested code, ensuring systems are resilient, secure, and maintainable. Stay current with industry best practices and emerging technologies in full stack development, and actively contribute to improving the architecture and development processes. Lead and mentor junior developers, conduct code reviews, and help establish best practices in software engineering across the team. Troubleshoot, debug, and resolve complex issues, ensuring the stability and reliability of the systems. Contribute to the continuous improvement of the development process, including the implementation of CI/CD pipelines and automated testing. What you bring to the table 6+ years experience in Software Engineering with designing and building large scale platforms as a Full stack Developer with Backend heavy. Experience leading/supervising and/or mentoring engineers, leading code reviews, and establishing best engineering practices. Passion for leading cross functional projects through collaboration and influencing design decisions. Deep understanding of modern programming languages such as Java, Python, PHP, C#, Go, Scala, or similar languages. Professional experience coding JavaScript, CSS, and HTML from scratch as well as a familiarity with modern client-side frameworks (React, Ember, Angular, Vue, Styled Components, SASS, etc) A solid understanding of JavaScript state management libraries, such as Redux, MobX, or Apollo Desired, but not required, you know responsive design principles to allow web pages to adapt to different screen sizes and devices, making them accessible to a wider audience, cross-browser compatibility is a plus Proficient in testing and debugging techniques to identify and fix issues in their code A passion for UI, UX, and Design Systems and working with designers to create engaging and intuitive experiences across devices Experience in working with product managers and designers to define, break down, and collaborate on feature work A genuine believer in constructive and respectful code reviews, retros, and collaborative problem-solving as the bedrock of a healthy team Great communication skills and the ability to support technical decision making with the team. .

Candidates for this position are preferred to be based in Bangalore, and will be expected to comply with their teams hybrid work schedule requirements. What You Will Do: Be a visionary leader providing guidance and mentorship to your team and across the organization on Java microservice development and best practices Build a capable team with strong leadership through effective headcount planning, hiring, on-boarding, retention, and continuous improvement Motivate and influence teams to buy into team vision and quarterly roadmap, pushing individuals outside of their comfort zones where necessary Be responsible for owning features developed by your team in each phase of a project - design, implementation, code review, QA and deployment to production Flex your strength and knowledge on Java, DevOps, and microservice development. Ensure services are built to industry best practices, including observability, architectural patterns, and inter-team dependency mechanisms (like SLOs) Work closely with architects and other teams across Storefront to breakdown an existing PHP monolith into well defined Java Microservices with clean boundaries and clear API contracts Obsessively focus on production readiness for the team including testing, monitoring, deployment, documentation, and proactive troubleshooting Break down complex initiatives into concrete iterative pieces Seek out, define, and evolve best practices within teams area of focus as well as initiatives that raise the standards across the organization Provide visibility into team results and bottlenecks, and drive data-driven action plans Work within an Agile culture to foster continuous improvement at the team and departmental level Proven success in mentoring junior engineers to improve standards and reduce defects in dynamic environments We Are a Match Because You Have: 10+ years of experience in engineering, with a preference for candidates with a mix of start-up and large-company experience eComm domain expertise is a bonus Hands-on experience driving software transformations within high-growth environments at scale Mastery in cross-functional consensus building and influencing without given authority Experienced in architecting and building large-scale, cloud-based, and event-driven systems across various projects Successful background in designing production systems at scale including fault tolerance, reliability, performance, and security Excellent communication skills with demonstrated experience driving teams forward and ability to influence results GCP target cloud platform, experience with AWS/Azure at scale Distributed microservice architectures with well architected domain boundaries High volume async messaging architectures Large scale relational and NoSQL style data stores Deep understanding of data processing and data pipelines. Common open source platforms, tools and framework, eg: Kafka, Kubernetes, Containerization, Java microservices, GraphQL APIs, Aerospike etc .

Who we are: Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, 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. Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. We are looking for a highly motivated and solution-oriented Senior Data Analyst to join our Search team. The team leverages Wayfair’s huge datasets to inform the product roadmap of our Search algorithms and technology. We work in close collaboration with a high performing team of engineers, machine learning scientists, and product managers who are on the leading edge of the search space. Examples of our work are: Design, run and analyze the results of A/B tests of new search algorithms and strategies (e.g. to generate predictive search suggestions); we also develop new testing and test analysis methodologies. KPI reporting and monitoring; this includes anomaly detection tools and advanced measurement approaches. Exploratory data analysis (e.g. clustering/segmentation) to generate new insights & inform our search roadmap. Use and develop our in-house automated tools; for instance, we have created a QA tool to better understand the performance of our new algorithms before A/B testing them. What you will do: Run open-ended exploratory data analysis to identify new ideas and opportunities Design and run A/B tests of our latest search algorithms Proactively monitor our search algos and systems to identify potential issues, determine root causes, and resolve. Build new tools that allow us to be more productive and efficient Work closely and build productive relationships with our product, engineering and machine learning stakeholders. Communicate key insights and recommendations to cross-functional executive leaders across the organization We Are a Match Because You Have: 3+ years of professional experience in an analytical role (in addition to any graduate education). Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred. Analytics or Data Science experiences with e-commerce companies is a strong plus. In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required. In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required. Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, required. Experience working with machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, preferred. Strong written and verbal communication with a team player, highly collaborative attitude. Ability to collaborate and proactively communicate with stakeholders. Proven track record of taking ownership and driving results. Thrive in a fast-paced environment. Strong business acumen, analytical skills, and technical abilities along with Show more Show less

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their teams hybrid work schedule requirements. Wayfair is the online leader for home furnishings and decor. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 8 million items across home furnishings, d cor, home improvement, housewares and more. Wayfair operates a growing Security Operations Center and we re looking for a talented Security Engineer to join and help grow our team. Our Security Operations team is tasked with monitoring and protecting Wayfair from an ever growing number of security risks, and finding new and creative ways to do so. We have a strong focus on engineering and innovation, and are seeking individuals who love to find new problems and hate fixing the same problem twice. What You ll Need 6+ years experience working in cyber security operations Thorough understanding of the threat landscape, the latest security trends, attack vectors for corporate and cloud environments, and how build detection and response tooling to identify and respond to malicious actors Experience with building and scaling SOAR/SIEM technologies Experience with incident detection and remediation Strong working knowledge of threat vectors, vulnerabilities, and what anomalies to look for Strong working knowledge of Linux and/or Windows logs & indicators Python experience to build and automate tooling Experience writing SIEM logging parsing rules Hands-on experience with incident response and monitoring tools, such as SIEM, EDR, cloud monitoring, etc. Strong communication skills, especially the ability to communicate security risks in business rather than purely engineering Strong understanding of cyber security best practices and frameworks such as NIST, MITRE, ATT&CK Framework, and OWASP Top 10 What You ll Do In this role you will work closely with the cyber security organization to build monitoring and response tooling and processes to reduce our mean-time-to-detect and remediate to keep up with threat actors changing tactics, techniques, and procedures (TTPs) Logging - Get all security relevant cloud, infrastructure and application logs parsed, and into our SIEM Detection - Setup detection and prevention rules and policies, PoC and deploy tools that help with detection, tune/audit deployed rules/policies in security tools on true and false positives, setting up a detection framework Response - Build plan and procedures for Incident Response, create playbooks to be followed, automate response, develop/deploy malware analysis tools and techniques, forensic tools and techniques to capture evidence/malware, PoC and deploy tools that help with response, integrate with customer service teams and engineering teams etc. Build security alerts & dashboards in various incident response tools. Monitor for suspicious activities/alerts in the cloud / infrastructure / application from various sources such as internal reports from employees as well as external reports such as customers/social media, vendors, partners, bug bounty programs etc., deployed/integrated security tools, data visualization tools etc. Support tooling to help analyze suspicious activities/alerts including malware analysis and forensics Build and maintain security infrastructure tooling that supports continuous SOC operations and vulnerability management As needed, support the response to security alerts and incidents, and take appropriate action to remediate and resolve .

Who we are Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for Machine Learning Scientists to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair’s revenue. 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 machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services 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. What you’ll need 3+ years of industry experience with a Bachelor/ Master’s degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Nice to have Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, machine learning orchestration tools (Airflow, Kubeflow or MLFlow) Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc. Experience with deep learning frameworks like PyTorch, Tensorflow, etc. Show more Show less

Who We Are: Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimisation & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are seeking an experienced Machine Learning Manager to lead a growing team focused on building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. In this role, you will have the opportunity to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. ​Working closely with a high-performing team of ML scientists and engineers, you'll tackle some of Wayfair's most intellectually challenging problems in machine learning, latency, and scalability, while directly contributing to the company's bottom line. What You’ll do: Own the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. Lead the next phase of GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive significant incremental ad revenue and improve supplier outcomes. Build, coach, and manage a team of ML scientists focused on developing intelligent budget, tROAS, and SKU recommendations, creative testing frameworks, and simulation-driven decisioning that extends beyond the current platform capabilities. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalisation, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimisation. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. Act as SME and provide mentorship and technical guidance beyond own team on the broader DS/Eng org when needed What You’ll need: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 10+ years of industry experience, with at least 1-2 years experience as a manager of teams and 5+ serving as an IC on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organisation Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, e.g. Python, Golang, Rust etc. Nice to have: Experience with GCP, Airflow, and containerization (Docker) Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning Show more Show less

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Machine Learning Scientist II to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair’s revenue. What you’ll do Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations. Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience. Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems. 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: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale. Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL. Proficiency in Python or one other high-level programming language 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 Nice to have Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks). Experience in computational advertising, bidding algorithms, or search ranking Experience with deep learning frameworks like PyTorch, Tensorflow, etc. Show more Show less

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their teams hybrid work schedule requirements. Who we are We are looking for a passionate Backend Software Engineer to join the Fulfilment Optimisation team. This team builds the platforms that determine how customer orders are fulfilled, optimising for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customer-facing platforms that provide fulfilment information on our websites, starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey, we are responsible for maintaining an accurate representation of our dynamic supply chain, determining how different products will fit into boxes, predicting how these boxes will flow through warehouses and trucks, and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds, thousands of times per second. The Growth Ad Platforms Engineering team is responsible for building Wayfairs class leading, data centric technology platform that optimizes and powers all of Wayfairs paid advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes, interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimisation and effective decision making on millions of items in our catalog.The types of systems built by this team range from low latency REST APIs, to real time streaming systems to high performance large scale batch systems. What you will do: Work with a broader highly collaborative cross-functional team that includes product managers, data scientists, and analysts. Work with a variety of technologies, including Java, Spark, Kafka, Aerospike, Hadoop, Airflow, RESTful web services, gRPC, Kubernetes. Additionally, you ll work with various managed GCP offerings like BigQuery, Composer and Vertex AI. Build platforms and services that allow us to make realtime ML powered decisions that improve the customer s onsite search experience. Deliver direct measurable results for our business and customers through improved product recommendations. Mentor junior engineers to develop the next generation of Wayfair engineering. Provide high quality code and technical design reviews. Contribute to the code base, with a mind to best practices and an equally high degree of autonomy. What you will need A Bachelor s Degree in Computer Science, Data Science, or a related engineering discipline. 3+ years of experience in a modern programming language, preferably Java Knowledge of scalable distributed systems with deep understanding of object oriented design and design patterns. Knowledge of designing APIs and microservices. Experience working on cloud technologies specifically GCP is a plus. Experience with Lucene-based Search engines like Elasticsearch is a plus. Knowledge of recommendation systems and productionalizing ML models is a plus. Experience using Kubernetes, Docker, Buildkite, and Terraform for containerization and CI/CD is a plus. Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders.

Software Engineer II, SMART Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who we are Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. We are looking for a passionate Backend Software Engineer to join the Fulfilment Optimisation team. This team builds the platforms that determine how customer orders are fulfilled, optimising for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customer-facing platforms that provide fulfilment information on our websites, starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey, we are responsible for maintaining an accurate representation of our dynamic supply chain, determining how different products will fit into boxes, predicting how these boxes will flow through warehouses and trucks, and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds, thousands of times per second. The Growth & Ad Platforms Engineering team is responsible for building Wayfair's class leading, data centric technology platform that optimizes and powers all of Wayfair's paid advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes, interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimisation and effective decision making on millions of items in our catalog.The types of systems built by this team range from low latency REST APIs, to real time streaming systems to high performance large scale batch systems. What you will do Work with a broader highly collaborative cross-functional team that includes product managers, data scientists, and analysts. Work with a variety of technologies, including Java, Spark, Kafka, Aerospike, Hadoop, Airflow, RESTful web services, gRPC, Kubernetes. Additionally, you’ll work with various managed GCP offerings like BigQuery, Composer and Vertex AI. Build platforms and services that allow us to make realtime ML powered decisions that improve the customer’s onsite search experience. Deliver direct measurable results for our business and customers through improved product recommendations. Mentor junior engineers to develop the next generation of Wayfair engineering. Provide high quality code and technical design reviews. Contribute to the code base, with a mind to best practices and an equally high degree of autonomy. What you will need A Bachelor’s Degree in Computer Science, Data Science, or a related engineering discipline. 3+ years of experience in a modern programming language, preferably Java Knowledge of scalable distributed systems with deep understanding of object oriented design and design patterns. Knowledge of designing APIs and microservices. Experience working on cloud technologies specifically GCP is a plus. Experience with Lucene-based Search engines like Elasticsearch is a plus. Knowledge of recommendation systems and productionalizing ML models is a plus. Experience using Kubernetes, Docker, Buildkite, and Terraform for containerization and CI/CD is a plus. Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders. 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 dataprotectionofficer@wayfair.com . Show more Show less

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 engineers and a deeply data-centric culture. The Customer Technology (CT) organization builds and owns all Machine Learning (ML) products that power search, marketing, and recommendations across Wayfair. An increasingly critical part of this ecosystem is our ML-powered communications platform, which drives timely, personalized engagement across channels and plays a key role in influencing customer behavior, retention, and revenue. We are seeking an experienced Senior Machine Learning Manager to lead the Notifications Science team, focused on building intelligent, ML-driven systems for personalized notifications. These systems ensure that we send the right message to the right customer, at the right time, through the right channel (Push, Email, SMS), and at the right cadence, while balancing incremental revenue with customer engagement health. In this role, you’ll be accountable for the technical roadmap, driving innovation to build the next generation of Wayfair’s communications ML stack. You’ll work closely with a high-performing team of ML scientists and engineers to solve some of Wayfair’s most complex challenges in personalization, latency, and scale with direct impact on customer experience and company revenue. What You’ll do: Own the strategy, roadmap, and execution of notification intelligence and automation solutions. Lead the development of GenAI-powered content generation, send-time optimization, and cross-channel orchestration systems. Build intelligent systems that drive significant incremental revenue while minimizing customer fatigue and unsubscribes. Develop and grow technical leadership within the team, modeling a culture of continuous research and innovation. Collaborate with Engineering and Product teams to scale decisioning systems to millions of notifications daily. Act as a subject matter expert, providing mentorship and technical guidance across the broader Data Science and Engineering organization. We Are a Match Because You Have: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of industry experience, with at least 1–2 years of experience managing teams, and 5+ years as an individual contributor working on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem-solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior-level stakeholders on strategic direction, based on recommendations backed by in-depth analysis, and excellent written and verbal communication skills. Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, e.g., Python, Golang, or Rust. Nice to have: Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. Familiarity with Generative AI and agentic workflows. Show more Show less

Software Engineer II, Storefront Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. We are looking for a passionate Backend Software Engineer to join the Fulfilment Optimisation team. This team builds the platforms that determine how customer orders are fulfilled, optimising for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customer-facing platforms that provide fulfilment information on our websites, starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey, we are responsible for maintaining an accurate representation of our dynamic supply chain, determining how different products will fit into boxes, predicting how these boxes will flow through warehouses and trucks, and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds, thousands of times per second. What You Will Do: Flex your strength and knowledge on Java, DevOps, and microservices development. Define and ensure services are built to industry best practices, including observability, architectural patterns, and inter-team dependency mechanisms (like SLOs) Work closely with architects and other teams across Storefront to breakdown an existing PHP monolith into well defined Java Microservices with clean boundaries and clear API contracts Serve as the local technical lead in the critical domain, designing & building a platform that interfaces with many different systems within and outside Wayfair and partner globally. Architect and write code to implement high-quality, scalable, future-proof services that will have effective system boundaries and will support long-term vision & strategy Conduct technical debate across an entire platform and help come to durable documented conclusions Drive high-impact architectural solutions and hands-on development, including inception, design, execution, and delivery following good design and coding practices Obsessively focus on production readiness for the team including testing, monitoring, deployment, documentation, and proactive troubleshooting Identify risks and gaps in technical approaches and propose solutions to meet the department's technical vision Work closely with product managers, designers, and peer engineering teams to define project requirements and execution plans We Are a Match Because You Have: 3+ years of experience in engineering, with a preference for candidates with a mix of start-up and large-company experience eComm domain expertise is a bonus Hands-on experience driving software transformations within high-growth environments at scale Experienced in architecting and building large-scale, cloud-based, and event-driven systems across various projects Excellent communication skills with demonstrated experience driving teams forward and ability to influence results GCP target cloud platform, experience with AWS/Azure at scale Distributed microservices architectures with well architected domain boundaries High volume async messaging architectures Large scale relational and NoSQL style data stores Common open source platforms, tools and framework, eg: Kafka, Kubernetes, Containerization, Java microservices, GraphQL APIs, Aerospike etc. 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 dataprotectionofficer@wayfair.com . Show more Show less

We are seeking an experienced Senior Machine Learning Manager to lead the Notifications Science team, focused on building intelligent, ML-driven systems for personalized notifications. These systems ensure that we send the right message to the right customer, at the right time, through the right channel (Push, Email, SMS), and at the right cadence, while balancing incremental revenue with customer engagement health. In this role, you'll be accountable for the technical roadmap, driving innovation to build the next generation of Wayfair s communications ML stack. you'll work closely with a high-performing team of ML scientists and engineers to solve some of Wayfair s most complex challenges in personalization, latency, and scale with direct impact on customer experience and company revenue. What you'll do: Own the strategy, roadmap, and execution of notification intelligence and automation solutions. Lead the development of GenAI-powe'red content generation, send-time optimization, and cross-channel orchestration systems. Build intelligent systems that drive significant incremental revenue while minimizing customer fatigue and unsubscribes. Develop and grow technical leadership within the team, modeling a culture of continuous research and innovation. Collaborate with Engineering and Product teams to scale decisioning systems to millions of notifications daily. Act as a subject matter expert, providing mentorship and technical guidance across the broader Data Science and Engineering organization. We Are a Match Because You Have: Bachelors or masters degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of industry experience, with at least 1-2 years of experience managing teams, and 5+ years as an individual contributor working on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem-solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior-level stakeholders on strategic direction, based on recommendations backed by in-depth analysis, and excellent written and verbal communication skills. Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, eg, Python, Golang, or Rust. Nice to have: Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. Familiarity with Generative AI and agentic workflows.

Wayfair is a leader in the e-commerce space for all things home. We live and breathe modern technologies. We re looking for smart, logical thinkers who can advocate for systems and designs that work at scale, but still retain the startup feel. We pride ourselves on scrappy innovation - getting real, working solutions deployed quickly and iterating based on data. Our Site Reliability Engineering team is looking for experienced engineers who have a mind for cloud native design, stability, and an understanding of SRE best practices - and some ideas about what could be better! We work across our Technology organization to ensure our platforms and services are ready for prime time by contributing to both the platform and software code bases. What You ll Do: As a Software Engineer (SRE), you will join our team to help grow our systems into best-in-class for efficiency, stability, observability, velocity, and scale in the e-commerce space, engage with the product and engineering team from Day 1 to design, build and maintain the system / software proactively Influence the design and architecture of Wayfair system as part of Cloud Enablement journey; collaborate with development teams to design scalable and reliable systems, considering aspects such as fault tolerance, availability and performance Influence the design and architecture of Wayfair system as part of Cloud Enablement journey; collaborate with development teams to design scalable and reliable systems, considering aspects such as fault tolerance, availability, and performance Work with both software engineers and fellow Platform Engineers to optimize and develop repeatable systems for the two sides to leverage each other. There s a wide range of opportunities to both guide the broad conversation and dive into the nuance of our code & architecture Help service owners build realistic SLOs, set SLAs and error budgets, and ensure production services have reliability built into their design Even after self-healing and automation done by you - if EXTREME complex issues arise, get involved into troubleshooting and root-cause analysis of issues across the stacks - hardware, software, database, network and so on Participate in a shared on-call schedule [follow-the-sun model] managed across SRE & Engineering Develop and maintain tools and frameworks for automating the deployment, CI/CD pipeline, configuration, and management of software systems. Automate repetitive tasks to increase efficiency and reduce human error Mentor new hires and other engineers by example, tech talks, paired programming, and other avenues to increase technical efficiency across the organization. What You ll Need: 3+ years experience working as a Software Engineer in a Platform role, or software development with an understanding of cloud infrastructure Experience with cloud platforms GCP, AWS, Azure, and containerization technologies (e.g. Docker, Kubernetes) Experience with server-side software engineering (Java, Go, Perl, Python etc) Design experience with distributed systems, microservices architecture, and related technologies Strong understanding of monitoring and alerting, with a focus on performance monitoring and tracing instrumentation & SLI/SLO/SLAs Experience decoupling monolith services a plus Knowledge of CI/CD pipelines and version control systems (e.g., Git). Excellent communication skills across engineers, product managers, and business stakeholders alike Nice To Have: Passion for leading a large, cross-cutting technical initiative to delivery, cross-functional consensus building and influencing design decisions Ample experience gathering and balancing requirements from technical and business stakeholders, and reaching consensus on prioritization Experience mentoring engineers and leading code reviews .

Wayfair is the online leader for home furnishings and decor. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 8 million items across home furnishings, d cor, home improvement, housewares and more. Wayfair operates a growing Security Operations Center and we re looking for a talented Security Engineer to join and help grow our team. Our Security Operations team is tasked with monitoring and protecting Wayfair from an ever growing number of security risks, and finding new and creative ways to do so. We have a strong focus on engineering and innovation, and are seeking individuals who love to find new problems and hate fixing the same problem twice. What You ll Need 2+ years experience working in cyber security operations Understanding of the threat landscape, the latest security trends, attack vectors for corporate and cloud environments, and how build detection and response tooling to identify and respond to malicious actors Experience with SOAR/SIEM technologies Experience with incident detection and remediation Working knowledge of threat vectors, vulnerabilities, and what anomalies to look for Working knowledge of Linux and/or Windows logs & indicators Python experience to build and automate tooling Experience writing SIEM logging parsing rules Experience with incident response and monitoring tools, such as SIEM, EDR, cloud monitoring, etc. Strong communication skills to describe challenges and roadblocks when building and maintaining our security operations tooling and logging Understanding of cyber security best practices and frameworks such as NIST, MITRE, ATT&CK Framework, and OWASP Top 10 What You ll Do In this role you will work closely with the cyber security organization to build monitoring and response tooling and processes to reduce our mean-time-to-detect and remediate to keep up with threat actors changing tactics, techniques, and procedures (TTPs) Logging - Gather all security relevant cloud, infrastructure and application logs parsed, and into our SIEM Detection - Setup detection and prevention rules and policies, PoC and deploy tools that help with detection, tune/audit deployed rules/policies in security tools on true and false positives, setting up a detection framework Response - Build plan and procedures for Incident Response, create playbooks to be followed, automate response, develop/deploy malware analysis tools and techniques, forensic tools and techniques to capture evidence/malware, PoC and deploy tools that help with response, integrate with customer service teams and engineering teams etc. Build security alerts & dashboards in various incident response tools. Monitor for suspicious activities/alerts in the cloud / infrastructure / application from various sources such as internal reports from employees as well as external reports such as customers/social media, vendors, partners, bug bounty programs etc., deployed/integrated security tools, data visualization tools etc. Build and maintain security infrastructure tooling that supports continuous SOC operations and vulnerability management As needed, support the response to security alerts and incidents, and take appropriate action to remediate and resolve .

Senior Software Engineer (12-15 yrs) Supply chain retail technology Who We Are :Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1 6 million square meters of logistics space The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently We are looking for a passionate Backend Software Engineer to join the Fulfilment Optimisation team What Youll D Partner with your business stakeholders to provide them with transparency, data, and resources to make informed decisions Be a technical leader within and across the teams you work with Drive high impact architectural decisions and hands-on development, including inception, design, execution, and delivery following good design and coding practices Obsessively focus on production readiness for the team including testing, monitoring, deployment, documentation and proactive troubleshootin Identify risks and gaps in technical approaches and propose solutions to meet team and project goals Create proposals and action plans to garner support across the organizatio Influence and contribute to the teams strategy and roadmap Tenacity for learning curious, and constantly pushing the boundary of what is possible We Are a Match Because You Ha A Bachelors Degree in Computer Science or a related engineering At least 12 years of experience in a senior engineer or technical lead role Should have mentored 10-12 people Experience developing and designing scalable distributed systems with deep understanding of architectural and design patterns, object oriented design, modern program languages Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders, Passion for mentoring and leading peer engineers Experience designing APIs and micro services Experience working on cloud technologies specifically GCP is a plus Deep understanding of data processing and data pipelines Common open source platforms, tools and framework, eg: Kafka, Kubernetes, Containerization, Java microservices, GraphQL APIs, Aerospike etc Designing and developing recommendation systems and productionalizing ML models for real time decisions, large-scale data processing and event-driven systems and technologies is a plus 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 Berlin, 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 knock ing 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:// 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

Data Engineer II The Data Engineering team within the SMART org supports development of large-scale data pipelines for machine learning and analytical solutions related to unstructured and structured data. Youll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct impact on all applications that our millions of customers interact with every day: search results, homepage content, emails, auto-complete searches, browse pages and product carousels and build and scale data platforms that enable to measure the effectiveness of wayfair s ad-costs , media attribution that helps to decide on day to day or major marketing spends. About the Role : As a Data Engineer, you will be part of the Data Engineering team with this role being inherently multi-functional, and the ideal candidate will work with Data Scientist, Analysts, Application teams across the company, as well as all other Data Engineering squads at Wayfair. We are looking for someone with a love for data, understanding requirements clearly and the ability to iterate quickly. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products. What youll do : Build and launch data pipelines, and data products focussed on SMART Org. Helping teams push the boundaries of insights, creating new product features using data, and powering machine learning models. Build cross-functional relationships to understand data needs, build key metrics and standardize their usage across the organization. Utilize current and leading edge technologies in software engineering, big data, streaming, and cloud infrastructure What Youll Need : Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience 3+ years relevant work experience in the Data Engineering field with web scale data sets. Demonstrated strength in data modeling, ETL development and data lake architecture. Data Warehousing Experience with Big Data Technologies (Hadoop, Spark, Hive, Presto, Airflow etc.). Coding proficiency in at least one modern programming language (Python, Scala, etc) Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing and query performance tuning skills of large data sets. Industry experience as a Big Data Engineer and working along cross functional teams such as Software Engineering, Analytics, Data Science with a track record of manipulating, processing, and extracting value from large datasets. Strong business acumen. Experience leading large-scale data warehousing and analytics projects, including using GCP technologies - Big Query, Dataproc, GCS, Cloud Composer, Dataflow or related big data technologies in other cloud platforms like AWS, Azure etc. Be a team player and introduce/follow the best practices on the data engineering space. Ability to effectively communicate (both written and verbally) technical information and the results of engineering design at all levels of the organization. Good to have : Understanding of NoSQL Database exposure and Pub-Sub architecture setup. Familiarity with Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools. .

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their teams hybrid work schedule requirements. The Platform Insights team is looking for smart, passionate and curious people who are excited to help us scale, support, and engineer our database, distributed analytic, and dashboards. With the broad reach of the technologies we are using you will have the opportunity to grow your network and skills by being exposed to new people and ideas who work on a diverse set of cutting-edge technologies. If you are the type of person who is fascinated by engineering extremely large and diverse data systems and if you are passionate about troubleshooting challenging technical problems in a rapidly innovating cloud environment, you could be a great fit. What Youll Do: Take complex engineering problems, design appropriate solutions and deliver on them fairly independently with limited oversight. Work on a variety of technologies - from system implementations, to software and tools built in house, to application systems delivering acceleration as a service. Architect and implement robust, well-tested services. Provide technical design and code reviews for peers within your team and across the broader Engineering Effectiveness org. Provide insights into opportunity areas for the platform, influencing priorities and team roadmaps in close partnership with Engineering and Product leadership. Be a multiplier, mentor other engineers on the team and help them become more productive and implement engineering best practices. Promote a culture of engineering excellence, up-leveling the technical expertise of engineers across Engineering Effectiveness org. What you ll Need: 3+ years of experience in software engineering and designing systems at scale. Experience in development of new applications using technologies such as Java, Python or C#; SQL; Cloud Native architecture in one of the big 3 providers (GCP, Azure, AWS). Experience with Continuous Integration (CI/CD) practices and tools (Buildkite, Jenkins, etc.). Experience leveraging monitoring and logging technologies (e.g. DataDog, Elasticsearch, InfluxDB, etc.). Track-record of being a hands-on developer efficiently building technically sound systems. Strong verbal and written communication skills. Ability to work effectively with engineers, product managers, and business stakeholders alike. Experience mentoring engineers and leading code reviews. Proficient in effective troubleshooting and issue resolution techniques. .

Who we are Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for Machine Learning Scientists to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair’s revenue. 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 machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services 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. What you’ll need 3+ years of industry experience with a Bachelor/ Master’s degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Nice to have Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, machine learning orchestration tools (Airflow, Kubeflow or MLFlow) Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc. Experience with deep learning frameworks like PyTorch, Tensorflow, etc. Show more Show less

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their teams hybrid work schedule requirements. We are looking for a passionate Backend Software Engineer to join the Fulfillment Optimization team. This team builds the platforms that determine how customer orders are fulfilled, optimizing for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customer-facing platforms that provide fulfillment information on our websites, starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey, we are responsible for maintaining an accurate representation of our dynamic supply chain, determining how different products will fit into boxes, predicting how these boxes will flow through warehouses and trucks, and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds, thousands of times per second. What Youll Do: Take complex engineering problems, design appropriate solutions and deliver on them. Work on a variety of technologies - from system implementations, to software and tools built in house, to application systems delivering acceleration as a service. Implement robust, well-tested services. Provide technical design and code reviews for peers within your team. Provide insights into opportunity areas for the platform, influencing priorities and team roadmaps in close partnership with Engineering and Product leadership. What you ll Need: 3+ years of experience in software engineering and designing systems at scale. Experience in development of new applications using technologies such as Java, Python andSQL Experience with Cloud Native architecture in one of the big 3 providers (GCP, Azure, AWS). Experience with Continuous Integration (CI/CD) practices and tools (Buildkite, Jenkins, etc.). Experience leveraging monitoring and logging technologies (e.g. DataDog, Elasticsearch,etc.). Track-record of being a hands-on developer efficiently building technically sound systems. Strong verbal and written communication skills. Ability to work effectively with engineers, product managers, and business stakeholders alike. Proficient in effective troubleshooting and issue resolution techniques. .

Who We Are: Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimisation & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are seeking an experienced Senior Machine Learning Manager to lead a growing team focused on building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. In this role, you will have the opportunity to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. ​Working closely with a high-performing team of ML scientists and engineers, you'll tackle some of Wayfair's most intellectually challenging problems in machine learning, latency, and scalability, while directly contributing to the company's bottom line. What You’ll do: Own the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. Lead the next phase of GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive significant incremental ad revenue and improve supplier outcomes. Build, coach, and manage a team of ML scientists focused on developing intelligent budget, tROAS, and SKU recommendations, creative testing frameworks, and simulation-driven decisioning that extends beyond the current platform capabilities. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalisation, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimisation. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. Act as SME and provide mentorship and technical guidance beyond own team on the broader DS/Eng org when needed What You’ll need: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 10+ years of industry experience, with at least 1-2 years experience as a manager of teams and 5+ serving as an IC on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organisation Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, e.g. Python, Golang, Rust etc. Nice to have: Experience with GCP, Airflow, and containerization (Docker) Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning Show more Show less