PayPal

Staff Software Engineer – Machine Learning

PayPal

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $152,500 - $262,350 per year

Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScalaScikit-LearnSparkTensorflow

About the role

  • Build the next generation of product discovery for millions of global shoppers
  • Own backend and data infrastructure powering search, recommendations, and catalog knowledge at global scale
  • Contribute to product search stack including indexing pipelines and query-time services
  • Collaborate closely with backend engineers and catalog data teams to integrate models and data
  • Work on query and document understanding, product entity modeling and enrichment, and taxonomy structuring
  • Design and implement retrieval and ranking algorithms and evaluate search quality
  • Lead development and optimization of advanced machine learning models
  • Oversee preprocessing and analysis of large datasets
  • Deploy, maintain, monitor, and iterate on ML solutions in production environments
  • Integrate ML models into products and services and evaluate model performance

Requirements

  • 5+ years relevant experience (or any equivalent combination of education and experience)
  • Bachelor's degree OR equivalent combination of education and experience
  • Preferred: 8+ years industry experience with deep learning architectures and production ML models
  • Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment
  • Strong proficiency in Python, Scala, or other programming languages
  • Experience working with large datasets and data processing pipelines (e.g., Dataflow, Spark, Flink)
  • Experience with scalable architectures
  • Experience working on search or recommendation systems at scale
  • Familiarity with A/B testing and experimentation methodologies for search relevance improvement
  • Strong communication and collaboration skills
  • Experience taking projects from research and prototyping to production deployment
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