Senior ML Recommender Scientist: Personalization at Scale

Wayfair

Mountain View (CA)

Hybrid

USD 208,000 - 219,000

Full time

13 days ago
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Benefits offered by this job

Parental Leave
Employee Discount
Gym/Fitness discounts
Health Benefits

Job summary

Wayfair is seeking an experienced Machine Learning Scientist III to join our content recommendations team. You will build and optimize ML-based recommender systems that power image/content recommendations and personalization across Wayfair.

As part of the SMART team, you will collaborate with ML scientists, engineers, and product teams to deploy state-of-the-art models at scale, improving customer engagement and driving business value.

Qualifications

  • Experience designing and deploying ML models for recommendations.
  • Strong ML theory and practice for large-scale systems.
  • Production experience with ML pipelines and cloud environments.
  • Proficiency in Python and common ML frameworks.
  • Ability to run experiments and analyze results with data-driven decisions.
  • Excellent communication with technical and non-technical stakeholders.

Responsibilities

  • Develop and optimize recommendation models powering personalized experiences.
  • Research ML methods to improve recommender systems and ranking.
  • Build scalable ML pipelines for training, evaluation, and inference.
  • Collaborate with engineers to deploy models in production addressing latency.
  • Analyze performance using A/B tests and offline metrics.
  • Contribute to open-source ML frameworks and stay current with research.
  • Identify opportunities to improve personalization strategies.

Skills

ML model development
Recommender systems
A/B testing
Python
Cloud deployment
Big data processing
Experiment design
Communication

Education

PhD
MS
BS

Tools

TensorFlow
PyTorch
Scikit-Learn
Spark
Hadoop
Airflow
Kubeflow
MLflow
AWS
GCP
Azure

Job description

Wayfair is seeking an experienced Machine Learning Scientist III to join our content recommendations team. You will build and optimize ML-based recommender systems that power image/content recommendations and personalization across Wayfair.

As part of the SMART team, you will collaborate with ML scientists, engineers, and product teams to deploy state-of-the-art models at scale, improving customer engagement and driving business value.

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