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PayPal Sr Staff Software Engineer – Machine Learning 
France, Auvergne-Rhône-Alpes 
630910358

Yesterday

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As a Machine Learning Engineer, you’ll contribute to key components of the product search stack - including indexing pipelines, and query-time services that deliver fast and relevant search results. You’ll collaborate closely with backend engineers and catalog data teams to enable intelligent, contextual, and scalable search capabilities.

  • Develop andoptimizemachine learning models to enhance search relevance and ranking for millions of users.

  • Collaborate with cross-functional teams, including data and backend engineers, to build scalable and efficient search solutions.

  • Evaluate search performance using offline metrics and live A/B experiments, driving continuous improvement.

  • Stay current with the latest research and innovationsin search-related ML technologiesand recommendation systems, translating them into scalable production solutions.


Looking For

  • Bachelor’s orMaster’s in Computer Science, Software Engineering, Machine Learning, or related field.

  • + years of industryexperience withdeep learningarchitectures, building,fine-tuningand deployingML models in production

  • proficiencyin Python, Scala,orother programming languages.

  • Familiarity with ML frameworks (TensorFlow,PyTorch,XGBoost, etc.).

  • Experience working with large datasets, data processing pipelines (e.g., Dataflow, Spark, Flink), and scalable architectures.

  • Strong communication

Preferred Qualification:

  • Experience working on search or recommendation systems at scale.

  • Familiarity with A/B testing and experimentation methodologies for search relevance improvement.

The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit

The US national annual pay range for this role is $169,500 to $291,500

Any general requests for consideration of your skills, please

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