PayPal Staff Software Engineer – Machine Learning United States, California, San Jose 923457774
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Essential Responsibilities:
- Lead the development and optimization of advanced machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- 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.
Preferred Qualification:
+ years of industryexperience withdeep learningarchitectures, building,fine-tuningand deployingML models in production
proficiencyin Python, Scala, or other programming languages.
Experience working with large datasets, data processing pipelines (e.g., Dataflow, Spark, Flink), and scalable architectures.
Strong communicationand collaboration skills, with the ability to work effectively across teams and contribute to a high-performing engineering culture.
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 practice 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 $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
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