Ebay Senior Applied Researcher Canada, Ontario, Toronto 766451654
Share
We are working on challenges such as:
Building recommender systems that surface the most relevant listings based on user behavior, context, and item signals.
Developing personalized banners, dynamic landing pages, and real-time ranking models for buyer experiences.
Integrating structured data, text, and images to deliver rich, context-aware personalization.
Running large-scale experiments to measure and optimize conversion, engagement, and satisfaction.
What you will accomplish :
Design, develop and productionize machine learning models for personalization, recommendation, and ranking.
Build scalable systems that deliver real-time buyer experiences across millions of users and inventory listings.
Conduct A/B experiments and use data-driven insights to iterate and optimize models.
Work closely with product managers, engineers, and designers to integrate science-driven features into the buyer experience.
Document and communicate technical approaches, insights, and results to technical and business audiences.
Contribute to the science strategy by identifying new opportunities and approaches based on data trends and business goals.
What you will bring :
5+ years of industry experience applying machine learning at scale, ideally in recommendation, ranking, or personalization domains.
MS or PhD in Computer Science, Machine Learning, Statistics, or a related technical field.
Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
Experience working with large datasets and distributed computing frameworks like Spark or Hive.
Strong background in experimental design, A/B testing, and statistical analysis.
Experience in ecommerce, online marketplaces, or consumer-facing applications.
Knowledge of multimodal machine learning techniques (e.g., using structured data, text, and image signals together).
Familiarity with recommender system architectures, ranking algorithms, or retrieval systems.
Experience building models that prioritize privacy, fairness, and user trust.
These jobs might be a good fit
