Senior Staff Machine Learning Engineer
PayPal
- Location
- San Jose, California, United States of America
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 332 approvals (FY2023)
- Posted
- 1d ago
Skills
About this role
The Company 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, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary
Job Description: PayPal, Inc. seeks Senior Staff Machine Learning Engineer in San Jose, CA Job Duties: Define and drive the strategic vision for implementing machine learning (ML) functions into the software ecosystem. Analyze software product architecture to create ML models using algorithmic programming techniques, database management practices, data visualization methods, and related query languages. Collaborate with Engineering and Data Science teams throughout the design and development phases to create new and enhanced software products and features consistent with business and technical requirements, with a focus on functionality, performance, scalability, reliability, realistic implementation schedules, and adherence to development goals and principles. Lead the optimization of ML models to integrate them into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Organize and analyze large datasets using experience with cloud platforms and tools for data processing and model deployment. Create and implement data analytics pipelines into existing software. Deploy and maintain ML solutions in production environments. Define and design testing sequences for newly developed software to implement into the ML pipeline. Create automated tests and deliver high-quality software code to production within a short development cycle in the continuous integration and delivery environment. Partial telecommuting permitted from within a commutable distance.
Minimum Requirements
Bachelor’s degree, or foreign equivalent, in Computer Science, Data Science, Information Systems, or a closely related field plus 8 years of progressively responsible experience in the job offered or a related