ML Scientist
2 weeks ago
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.
Bengaluru is home to our brand new, strategic technology delivery center and will be critical to achieving our future growth plans.
We are looking for best in class Engineers to come in and help scale our technical products and teams alike as we continue on our path to be the world's number one online destination for the home.
As one of the early members of the team here in our strategic technology delivery center, you will partner closely with our technology and business leaders from around the world to help build the platform to support our growth plans to $50B USD and beyond in the next 3 to 5 years.
The team in the Bengaluru technology development center can work across multiple domains that drive speed and convenience for the customer and cost efficiency across the full value chain.
The work we do at Wayfair means we have to move quickly, collaborating with the best and brightest engineers, creatives, product managers, data scientists, and analysts to discover, build, and scale world-class software products.
If you love to solve real business problems at scale, in a fast-paced, high growth and agile environment, this is the role for you
Who we areWayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture.
The Search, Marketing, and Recommendations technology science team (SMART) builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair.
Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods, to driving marketing experiences customers love all at web scale.
We are looking for machine-learning scientists for research and development of the ML systems that power our real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience.
In this role, you'll partner with fellow scientists, engineers, analysts, and product managers to apply science and machine learning skills to directly impact Wayfair's revenue.
What you'll doDesign, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customersWork cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutionsCollaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML servicesIdentify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.
What you'll need3+ years of industry experience with a Bachelor/ Master's degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field.
Proficiency in Python or one other high-level programming languageSolid hands-on expertise deploying machine learning solutions into productionStrong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc.
Strong written and verbal communication skillsIntellectual curiosity and enthusiastic about continuous learning
Nice to haveExperience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc.
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