Machine Learning Scientist I, Advertising Optim...
@ Wayfair

Bengaluru, Karnataka, India
On Site
Posted 3 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @wayfair.com
Recommended after applying

Job Details

Who We Are

Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. The company leverages cutting edge Machine Learning and AI products to enhance customer experience and drive business growth.

Role Overview - Machine Learning Scientist I

You will be part of a cross-functional team focused on designing, building, deploying, and refining large-scale machine learning and AI models to solve real-world problems for customers.

Key Responsibilities

  • Design, build, and deploy scalable ML/AI models.
  • Collaborate with commercial stakeholders, engineers, analysts, and product managers.
  • Work with infrastructure and ML platform teams to develop production grade services.
  • Identify new opportunities from data insights and optimize models.
  • Maintain a customer-centric approach in problem solving.

Required Qualifications

  • 1+ years of industry experience with a degree in Computer Science, Mathematics, Statistics, or related field.
  • Proficiency in Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.).
  • Strong theoretical and hands-on experience with machine learning algorithms.
  • Excellent communication skills and ability to simplify complex concepts.
  • Intellectual curiosity and commitment to continuous learning.

Preferred Skills

  • Experience or understanding of search, recommendations, and ranking in e-commerce.
  • Knowledge of Apache Spark ecosystem or Java experience.
  • Familiarity with cloud services (GCP, AWS, Azure) and ML orchestration tools.
  • Experience with Kubernetes and Docker.

About Wayfair

Wayfair is one of the world’s largest online destinations for the home, committed to industry-leading technology and creative problem-solving. This role is ideal for those seeking rapid growth, constant learning, and dynamic challenges in an inclusive, innovative environment.

Location & Work Arrangement

Candidates are preferred to be based in Bangalore, India and must comply with a hybrid work schedule.

Key skills/competency

  • Machine Learning
  • AI
  • Python
  • Algorithm Design
  • Data Analysis
  • Cloud Computing
  • Scalability
  • Collaboration
  • E-commerce
  • Communication

How to Get Hired at Wayfair

🎯 Tips for Getting Hired

  • Research Wayfair's culture: Understand mission, values and team dynamics.
  • Customize your resume: Highlight ML projects and technical skills.
  • Network on LinkedIn: Connect with current employees for insights.
  • Prepare for interviews: Focus on ML algorithms and system design.

📝 Interview Preparation Advice

Technical Preparation

Review Python ML libraries.
Practice designing scalable ML models.
Study cloud computing essentials.
Familiarize with ML orchestration tools.

Behavioral Questions

Describe a time you solved a complex problem.
Explain your collaboration approach on projects.
Discuss a challenge meeting deadlines.
Share a learning experience from failure.

Frequently Asked Questions