Senior Machine Learning Engineer
PayPalAbout the 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 Description Summary:
What you need to know about the role-PayPal Global Analytics and Data Science team is looking for an experienced Machine Learning Scientist to help us develop and enhance machine learning/AI capabilities and innovate to grow PP products. This is an excellent opportunity to join a team of intelligent and passionate engineers and scientists and to help shape the future of the Credit Business at PayPal.
Meet our team
PayPal GADS team is responsible for building PayPal ML/AI solutions that drive impact across PayPal. We build innovative solutions that interact with customers throughout the product lifecycle with a strong focus on driving PP growth and business.
Job Description:
Your way to impact:
Identify AI ML opportunities and build solutions that impact the business
Explore and execute to get solid results
Impact team, partners and business through PayPal values
Your day to day:
In your day to day role you will
Lead ML Projects and Conduct research to identify new and innovative ML techniques.
Innovate to create efficiencies for the team and the business.
Work closely with other engineers and technical leaders to implement and optimize ML models.
Develop and implement best practices for ML model management, deployment, and monitoring.
Collaborate with other teams to ensure ML models are integrated into the product and services.
Assist with troubleshooting and resolving technical issues.
Responsible for documentation, project tracking, and quality controls.
What do you need to bring:
The ideal candidate will possess a degree in engineering, science, statistics or mathematics with strong technical background in machine learning.
We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion for problem-solving.
Candidates should have experience with solving Machine learning p
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