Staff Machine Learning Engineer

Staff Machine Learning Engineer

Wayfair is looking for an Staff Machine Learning Engineer to organize and drive initiatives that support our Supplier Engineering team. Our team is now building cutting-edge applications and self-service tools which will aid Wayfair sellers in every step of the e-commerce journey. From onboarding to creating and updating their product catalog, to improving the merchandising and pricing of individual products - we will be offering guidance and recommending world-class solutions at every step. Our goal is to make it as easy for anyone to sell on Wayfair as it is to buy from Wayfair. Wayfair is a leader in the e-commerce space for all things home. We live and breathe modern technologies. We’re looking for smart, logical thinkers who produce and advocate for performant, scalable designs. We are as much concerned about thought leadership, community involvement, and the ever-changing SRE (Site Reliability Engineering) landscape as we are with senior technical skills!

We are currently seeking a Staff Machine Learning Engineer for our Supplier Technology team! Supplier Tech is on the forefront of innovation at Wayfair and within the e-commerce space! The Supplier Engineering team has been tasked with spearheading the next set of major growth for Wayfair as we strive towards our goal of growing from a $15B company to a $100B company. With this comes the opportunity for you to work on and lead high-visibility projects that have an extremely high impact on Wayfair. Furthermore, you will be green fielding the way we’re going to build applications for our sellers going forward. Our focus is continuously innovating and improving to offer a Best in Class experience.

As a Staff Machine Learning Engineer you’ll have a multitude of opportunities to flex your strengths as well as learn new things while directly assisting our internal customers. We contribute to (and create) bleeding edge open-source projects and continuously push the envelope to explore the future of eCommerce and distributed infrastructure systems. The team focuses on moving workloads into the cloud and designing and deploying the framework that our public cloud platforms are built upon.

Responsibilities:

• Own the full data science lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Develop quantitative models, leveraging machine learning and advanced data analysis techniques
• Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
• Work with senior software engineers to explore opportunities for automatic issue resolution

Requirements:

• 10+ years experience as an ML Engineer/Data Engineer/Data Scientist with a strong software engineering background
• Consistent track record of autonomous delivery of DS/ML projects that drive measurable business impact
• Experience building and deploying a machine learning pipeline (Airflow a plus)
• Proficiency in at least one programming language used both for ML and automation tasks (Python and familiarity with its ML ecosystem a plus)
• Proficiency in SQL (BigQuery experience a plus)
• Experience with GCP‑based ML solutions a plus
• Familiarity with problem management a plus

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 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.