Staff Machine Learning Engineer – NLP 1308 views

Who They Are

Wayfair Data Science powers automation & decision support across all Wayfair business units. Their algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to their catalog, to enabling their customers to discover and purchase a vast & diverse assortment of home goods.

The Data Science Search & Recommendations team is looking for an experienced Data Scientist to focus on leveraging customer behavior and product attributes to personalize the Wayfair customer experience. In this role, you’ll partner with fellow data scientists, engineers, analysts, and product managers to bring their next-generation deep learning search query understanding models to life. You’ll test and explore state-of-the-art deep learning techniques on terabytes of data. You’ll explore how to evaluate the query understanding models both offline and online. You’ll scale solutions to serve billions of searches each day, invent solutions to keep the models up-to-date with new and trendy search languages and think about how to wrangle with real-time inference constraints. The models you develop will have a tremendous business impact, directly measurable through their online A/B test platform.

What You’ll Do 

• Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Develop quantitative models, leveraging machine learning and advanced data analysis techniques
• Architect and build technical platforms for their algorithmic engines to run at scale
• Uncover deep insights hidden in their vast repository of raw data, and provide tactical guidance on how to act on findings
• Provide a strong partnership with business and engineering teams

What You’ll Need

• 4+ years of experience in a quantitative or technical work environment, and advanced degree (Ph.D.) in a quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
• An intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
• Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts, and desire to influence business decisions
• High comfort level with Python (preferred), or with other languages such as R, Java, C#, etc.,
• Machine Learning experience (such as supervised/unsupervised learning, deep learning, NLP, etc.)
• Deep Learning in NLP, seq2seq, and text classification experience strongly preferred
• Ability to thrive in a dynamic environment where there can be degrees of ambiguity
• Bonus points for intellectual curiosity and a strong desire to always be learning