Full-Time

Machine Learning Manager

Recommendations

Posted on 11/21/2024

Wayfair

Wayfair

10,001+ employees

E-commerce platform for home goods sales

Consumer Software
Consumer Goods

Senior

Company Historically Provides H1B Sponsorship

Boston, MA, USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
Airflow
Apache Spark
SQL
Docker
Requirements
  • 6+ years of experience (ideally with 2+ YOE as lead/manager) building advanced machine learning models that solve real-world problems
  • Strong theoretical grasp of machine learning concepts combined with hands-on expertise deploying web-scale ML-based decision-making systems into production
  • Hands-on and technical manager who can engage deeply with both core algorithm development and system design & architecture
  • Experience with data-driven opportunity sizing & prioritization and bias towards building things iteratively (and learning as we go)
  • You are comfortable making complex decisions (even when faced with ambiguity), making pragmatic tradeoffs, and using goal-setting frameworks (e.g. OKRs)
  • You have a track record of coaching and mentoring junior ML scientist and engineers -- ranging from fresh PhD graduates to experience ML scientist
  • Experience working with commercial stakeholders to translate business objectives to appropriately-scoped ML model/system and ensuring commercial and ML objectives remain tightly aligned
  • Strong written & verbal communication skills and ability to influence senior-level stakeholders and steer overall strategy based on data-driven recommendations and analysis
  • Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
Responsibilities
  • Lead our Recommendations team within the Search and Recs Machine Learning group responsible for building and maintaining systems that power recommendations across all surfaces on our site, our app, email, and push and drive substantive business value.
  • Hire, develop, and coach a talented team of ML scientists to build scalable ML decisioning systems that directly contribute to Wayfair’s bottom-line
  • Partner closely with cross-functional partners across engineering, data science and product to develop science strategy and roadmap for recommendations systems
  • Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that improve customer experience
  • Build robust monitoring, alerting, and edge-case handling mechanisms.
  • Collaborate closely across multiple science and engineering teams to develop SOTA recommendation technologies and drive robust integration to launch improving customer experiences.
  • Research new developments in sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.

Wayfair specializes in selling home goods through its e-commerce platform, wayfair.com. It offers a wide variety of products, including furniture, lighting, cookware, and appliances, catering to different styles and budgets for customers ranging from homeowners to interior designers. The company operates a marketplace model that connects consumers with over 5,000 brands, allowing it to provide a large selection of items without managing extensive inventory. Wayfair earns revenue from product sales and advertising fees from suppliers promoting their products on the site. Its extensive product range includes items like smart kitchen appliances, ensuring it meets diverse customer needs. Wayfair stands out from competitors by being a one-stop shop for home-related products, enhancing the shopping experience with appliance packages and curated collections. The company's goal is to simplify the home shopping process for customers by offering a comprehensive selection of goods.

Company Stage

IPO

Total Funding

$341.4M

Headquarters

Boston, Massachusetts

Founded

2002

Growth & Insights
Headcount

6 month growth

1%

1 year growth

14%

2 year growth

-3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Wayfair's new loyalty program could increase customer retention and repeat purchases.
  • The opening of brick-and-mortar stores may attract new customers and boost brand visibility.
  • Growing demand for sustainable products presents an opportunity for Wayfair to expand its offerings.

What critics are saying

  • Increased competition from traditional retailers entering the online space could impact market share.
  • Rising logistics and shipping costs may affect Wayfair's profit margins.
  • Potential supply chain disruptions from geopolitical tensions could hinder product availability.

What makes Wayfair unique

  • Wayfair offers a vast selection of home goods through its marketplace model.
  • The company provides curated collections and appliance packages for a simplified shopping experience.
  • Wayfair's AR technology enhances online shopping by allowing product visualization in customer spaces.

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