Sofware Engineer Ii - Search Relevance

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 Keyword Search and Browse Platform. A Software Engineer will be responsible for high quality implementation and consistent maintenance of systems that support the ranking of products for keyword search on Wayfair’s sites. We have ambitious goals to improve this search functionality to better understand customer intent and improve our ability to rank products for them, regardless of the page they are browsing.

What you’ll 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’ll need

• A Bachelor’s Degree in Computer Science, Data Science, or a related engineering discipline.
• At least 5 years of relevant industry experience.
• 4+ years of experience in a modern programming language, preferably Python or Java.
• Experience with Lucene-based Search engines like Elasticsearch
• Experience developing and designing scalable distributed systems with deep understanding of object oriented design and design patterns.
• Experience designing APIs and microservices.
• Experience building high performance, scalable and fault-tolerant Java applications  preferred
• Experience working on cloud technologies specifically GCP is a plus.
• Experience developing and designing recommendation systems and productionalizing ML models is a plus.
• Experience with large scale data processing using big data technologies like Hadoop, Spark and Google BiqQuery is a plus.
• Experience using Kubernetes, Docker, Buildkite, and Terraform for containerization and CI/CD is a plus.
• Experience with streaming technologies like Kafka, Flink are a plus.
• Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders.