Staff Engineer – NLP/ML

Wayfair LLC
Wayfair LLC

Job Overview

Staff Machine Learning EngineerService Intelligence Platform is responsible for a wide variety of NLU, Search, Recommendation, and speech related products supporting our stakeholders in Data Science and Service Engineering teams. Our products are geared towards helping customers and agents be a part of world-class post order experience, and include goal-oriented Virtual Assistants, ASR, Q&A systems, and Recommendation in Search.The projects that our teams work on are built from the ground up – we look for entrepreneurial individuals who want to take ownership over their own agenda and thrive in a collaborative team environment.What You’ll Do:* Deploy and maintain production models using both internal and external solutions* Improve the pace of innovation and experimentation by introducing best practices and tools for Data Science workflow and DevOps* Help grow other engineers by mentoring and developing learning opportunities* Deal with rapidly evolving business priorities.* Collaborate with some of the best engineers and data scientists in the industry.What You Will Need:* A strong statistical background in ML, NLP, deep learning models along with familiarity in probabilistic information retrieval and optimization methods* Professional experience of building and deploying ML/AI apps to production, in realtime and Batch mode at scale* Strong understanding in data structures, algorithms and software design concepts in Streaming, REST, gRPC* Expert knowledge in one of Java/Scala/C++* Minimum of 2 years experience with scripting language Python, & Docker* Hands-on distributed systems compute experience using Spark/Dataproc, Kafka consumers, Hive or equivalent* Good understanding of Tensorflow, Pytorch, Pandas, Scikit-learn and Airflow* Strong understanding in model inferencing lifecycle, Monitoring, feedback loop and data capture in real time at scaleNice to Have:* Experience with one of GCP/AWS and Kubernetes or Swarm* Experience with Dataproc, MLflow, Horovod, Michelangelo* Experience with semi-supervised learning, BERT, XGBoost* multi-arm bandits setup experience* UniMRCP, RTP understanding at a high level* WebSocket understanding on a high level* Search Engine exposureAbout Us: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.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, or genetic information.

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