PayPal · 13 hours ago
Senior Machine Learning Engineer
San Jose, CA
Full-time
Hybrid
Mid, Senior Level
$138K/yr - $236K/yr
3+ years expPayPal has been revolutionizing commerce globally for more than 25 years. As a Senior Machine Learning Engineer on the Personalization Platform team, you will design, build, and optimize large-scale, real-time personalization and recommendation systems that power key customer experiences across PayPal.
E-Commerce PlatformsFinTechMobile PaymentsTransaction Processing
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
3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and 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
Preferred
3 years of experience in machine learning engineering or applied ML development
Experience building and scaling ML systems in production, particularly related to personalization, recommendations, ranking, or embeddings
Strong software engineering background with proficiency in Python, Java, or Scala
Hands-on experience with distributed systems and streaming technologies such as Kafka, Flink, Spark, or similar
Solid understanding of ML model lifecycle, including training, deployment, monitoring, and continuous improvement
Experience working with cloud-native architectures and modern CI/CD pipelines
Ability to collaborate effectively in cross-functional teams and communicate clearly with technical stakeholders
Experience with real-time inference platforms or feature stores
Familiarity with model monitoring, drift detection, and MLOps tooling
Exposure to deep learning frameworks (TensorFlow, PyTorch) or large-scale embeddings
Background with containerization and orchestration (Docker, Kubernetes)
Experience supporting experimentation pipelines or A/B testing at scale
Benefits
Flexible work environment
Employee shares options
Health and life insurance
Company
PayPal
PayPal is a financial service company that provides online payment solutions to its users worldwide.
10001+ employees
H1B Sponsorship
PayPal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (945)
2024 (918)
2023 (775)
2022 (921)
2021 (1051)
2020 (1049)
Funding
Current Stage
Public CompanyTotal Funding
$12.17BKey Investors
Kohlberg Kravis RobertsBlueRun Ventures
2025-11-17Post Ipo Debt· $6.95B
2023-06-07Post Ipo Debt· $5B
2015-07-20IPO
Leadership Team
Simon Bladon
CEO, UK
chaloem khompitoon
President & CEO
Recent News
2025-12-31
The European Financial Review
2025-12-31
Company data provided by crunchbase