Associate Machine Learning Scientist, Wayfair
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- Masters or a Bachelors in STEM with a minimum 1-2 years of experience. We seek diverse candidates but generally expect backgrounds in STEM -- engineering, computer science, economics, etc
- Proficiency in Python or one other high-level programming language
- A strong theoretical understanding and solid hands-on experience working with machine learning algorithms
- Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.)
- Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficiency
- Intellectual curiosity and enthusiasm about continuous learning
Desirable
- Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) experience or Java experience
- Familiarity with cloud based compute approaches GCP (or AWS, Azure), ML model development frameworks, and ML orchestration tools (Airflow, Kubeflow, VertexAI, etc)
- Experience with Kubernetes and Docker
- Clear track record of publishing or work related projects showing ability to develop cutting edge AI systems
What the job involves
- Wayfair’s Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale
- Design, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for customers
- You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact
- Work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions
- Collaborate closely with various infrastructure, and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML services
- Build cutting edge robust ML models and systems that directly impact our customers every day
- Identify 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
- This is an introductory position meant to help you start your career in Machine learning and AI
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionise online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Company HQ
Prudential / St. Botolph, Boston, MA
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
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