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HomeCompaniesPayPalSr. Machine Learning & AI Engineer
P
PaypalACTIVELY HIRING

Sr. Machine Learning & AI Engineer

Not Disclosed
5 to 9 Yrs
Full time
4/4/2026
Salary Range
Not Disclosed
Experience
5 to 9 Yrs
Job Location
Not specified
Remote Work Policy
Not specified
Visa Sponsorship
Not specified
Relocation
Not specified
Skills
Machine LearningData AnalysisData ProcessingAWSAzureGCPAlgorithmsData StructuresGPUCudaDockerKubernetesHadoopHiveSparkSQLData MiningCommunication SkillsInnovationModel DeploymentTensorFlowPyTorchscikitlearnCloud PlatformsGen AIPrompt EngineeringRAG FinetuningLangraphLangchainCrewAIH2OSciKitLearnKerasSpark MLlibXGBoostLightGBMML Design PatternsAgile PrinciplesCuDNNContainerecosystemMesosBig Data PlatformMap ReduceFeature EngineeringTeam PlayerMultitaskingNew Technologies
Industry
IT Services & Consulting
Hiring Status
ACTIVELY HIRING
Hiring Contact
P
PayPal
Recruiter

Job Description

Role Overview

You will design, develop, and implement machine learning models and algorithms to solve complex problems. Working closely with data scientists, software engineers, and product teams, you will enhance services through innovative AI/ML solutions. Your responsibilities will include building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Key Responsibilities

- Develop and optimize machine learning models for various applications. - Preprocess and analyze large datasets to extract meaningful insights. - Deploy ML solutions into production environments using appropriate tools and frameworks. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models. Qualification Required: - Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. - Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. - Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. - Several years of experience in designing, implementing, and deploying machine learning models. Additional Details: PayPal has been revolutionizing commerce globally for more than 25 years, creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure. Operating a global, two-sided network at scale, PayPal connects hundreds of millions of merchants and consumers, enabling transactions online and in person. The company provides proprietary payment solutions accepted by merchants, offering customers flexibility in using their accounts for various transactions. PayPal's core values of Inclusion, Innovation, Collaboration, and Wellness guide its daily operations, emphasizing teamwork with customers at the center of everything they do. PayPal's benefits include a flexible work environment, employee share options, health and life insurance, and more, supporting employees at every stage of life. The company is committed to building an equitable and inclusive global economy, offering resources to champion the financial, physical, and mental health of its employees. PayPal promotes diversity and inclusion, providing equal employment opportunities to all individuals regardless of various characteristics, and providing reasonable accommodations for qualified individuals with disabilities.

Role Overview

You will design, develop, and implement machine learning models and algorithms to solve complex problems. Working closely with data scientists, software engineers, and product teams, you will enhance services through innovative AI/ML solutions. Your responsibilities will include building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Key Responsibilities

- Develop and optimize machine learning models for various applications. - Preprocess and analyze large datasets to extract meaningful insights. - Deploy ML solutions into production environments using appropriate tools and frameworks. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models. Qualification Required: - Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. - Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. - Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. - Several years of experience in designing, implementing, and deploying machine learning models. Additional Details: PayPal has been revolutionizing commerce globally for more than 25 years, creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure. Operating a global, two-sided network at scale, PayPal connects hundreds of millions of merchants and consumers, enabling transactions online and in person. The company provides proprietary payment solutions accepted by merchants, offering customers flexibility in using their accounts for various transactions. PayPal's core values of Inclusion, Innovation, Collaboration, and Wellness guide its daily operations, emphasizing teamwork with customers at the center of everything they do. PayPal's benefits include a flexible work environment, employee share options, health and life insurance, and more, supporting employees at every stage of life. The company is committed to building an equitable and inclusive global economy, offering resources to champion the financial, physical, and mental health of its employees. PayPal promotes diversity and inclusion, providing equal employment opportunities to all individuals regardless of various characteristics, and providing reasonable accommod