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Job Description
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:
Wayfair believes everyone should live in a home they love. 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 14 million items across home furnishings dcor home improvement housewares and more. Committed to delighting its customers every step of the way Wayfair is reinventing the way people shop for their homes from product discovery to final delivery.
Wayfairs 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 Wayfairs extensive customer and product data to deliver trusted and valuable recommendations in realtime using custom machine learning models. We productionalize these ML models as microservices and build data pipelines necessary for inference and model training.
The Predictive Search team is focused on enhancing the autocomplete dropdown one of the most visible components of our site to better understand customer intent and deliver the most relevant and personalized search results.
As a Staff Engineer youll play a pivotal role in shaping the technical direction for predictive search. Youll lead initiatives to design and build highperforming scalable systems that deliver realtime machinelearningpowered autocomplete suggestions. You will work closely with crossfunctional partners mentor team members and deliver impactful results that directly enhance customer experience and drive business outcomes.
We have ambitious goals to improve this search functionality to better understand customer intent and map them to the most relevant destination on site.
What youll do
- Architect and Implement: Lead the design and development of robust scalable systems supporting autocomplete functionality ensuring high availability and performance.
- Collaborate CrossFunctionally: Work with a broader highly collaborative crossfunctional team that includes product managers engineering leads data scientists and analysts.
- Versatile Technology: Work with a variety of technologies including Java Spark Kafka Elasticsearch Aerospike Hadoop Airflow RESTful web services gRPC Kubernetes. Additionally youll work with various managed GCP offerings like BigQuery GKE BigTable Memstore Composer and Vertex AI.
- RealTime Decision Making: Build platforms and services that allow us to make realtime ML powered decisions that improve the customers onsite search experience.
- Drive Impact: Deliver direct measurable results for our business and customers through improved search recommendations.
- Technical Leadership: Mentor junior engineers to develop the next generation of Wayfair high quality code and technical design to the code base with a mind to best practices and an equally high degree of autonomy.
What youll need
- A Bachelors Degree in Computer Science Data Science or a related engineering discipline.
- 10 years of professional experience in software engineering with expertise in building largescale distributed systems.
- Knowledge of scalable distributed systems with deep understanding of object oriented design and design patterns.
- Knowledge of designing Javabased APIs and microservices. Strong experience with Spring or Webflux.
- Experience productionizing customerfacing Data Science models including high throughput low latency serving layers like ONNX modeltraining & feature serving
- Deep understanding of information retrieval technologies (e.g. search engines like Elasticsearch Solr Vespa or other VectorSearch Engines).
- Experience working on cloud technologies like Google Cloud Platform AWS Azure or other cloud providers
- Experience with customerlevel personalization scoring and ranking via modeldriven inference
- Strong understanding of search and recommendation system models is highly desirable.
- Experience using Kubernetes Docker Buildkite and Terraform for containerization and CI/CD.
- Excellent communication skills and ability to work effectively with engineers product managers data scientists analysts and business stakeholders.
Why Youll Love This Role:
- Work on a highly visible impactful product at the core of the customer journey.
- Lead cuttingedge ML and searchrelated innovations in ecommerce.
- Influence the technical strategy and roadmap of a missioncritical system.
- Be part of a collaborative highperforming team that values continuous learning and improvement.
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 industryleading technology and creative problemsolving 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 risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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 If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full Time
