Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
The position offers a Hybrid Workstyle, allowing work from the office, home, or satellite office, subject to the organization's rules and business instructions.
Required skills include Python product development experience, team development with package management/testing tools/Linter, experience with major data processing/ML libraries, team lead experience for 5-10+ members, MLOps knowledge including ML pipeline architecture and workflow engines, cloud service development, and Japanese communication at conversational level.
This information is not specified in the job description.
The Financial Strategy Division consists of about 50 members from late 20s to late 40s, including around 10 data analysts and data scientists.
Strong candidates have team lead experience, MLOps expertise, and a passion for improving financial services, aligning with PayPay's 'PayPay 5 senses' and user-first vision, plus desirable skills like ML library contributions or research experience.
Digital payments platform for various clients
PayPal offers a digital payments platform that allows users to conduct online transactions, mobile payments, and peer-to-peer transfers. It generates revenue primarily through transaction fees charged to merchants and provides various services for individual consumers, small to medium-sized businesses, and large enterprises. PayPal distinguishes itself from competitors by offering a wide range of secure financial services tailored to different client needs. The company's goal is to create a convenient and secure digital payments experience for all users.