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.
Wayfair's Search and Recommendations team builds the core platforms and services that allow our customers to discover & buy the products they love. Just last year alone our team has contributed to hundreds of millions in incremental revenue. We do this by leveraging Wayfair's extensive customer and product data to deliver trusted and valuable recommendations in real-time using custom machine learning models. We productionalize these ML models as microservices and build data pipelines necessary for inference and model training.
Our platforms and services are used to power experiences for search, browse across multiple storefront and marketing channels and are called over a billion times a day.
We're looking for an experienced senior software engineer to join our highly impactful team to help us build and extend our Predictive Search Service. A Software Engineer will be responsible for high quality implementation and consistent maintenance of systems that support auto-complete search behavior on Wayfair's sites. We have ambitious goals to improve this search functionality to better understand customer intent and map them to the most relevant products and searches on site.
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.
- 2+ 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 [email protected].
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What We Do
Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home. From expert customer service, to the development of tools that make the shopping process easier, to carrying one of the widest and deepest selections of items for every space, style, and budget, Wayfair gives everyone the power to create spaces that are just right for them.
