PayPal
Senior Machine Learning Engineer
PayPal, San Jose, California, United States, 95199
The CompanyPayPal 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.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.Job Description Summary:
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.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 problems in credit or collections business across geographies.7+ years of hands-on experience with problem-solving using Machine Learning.Hands-on experience with Python, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required.Candidates should have in-depth knowledge of machine learning algorithms, and explainable AI methods.Experience with Cloud frameworks such as GCP, AWS is preferred.Experience with Lending and Financial services is a plus.Education:
Bachelor degree or equivalent, Master/PhD preferred.Languages:
EnglishTravel Percent:
0Commitment to Diversity and Inclusion:
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.
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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.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 problems in credit or collections business across geographies.7+ years of hands-on experience with problem-solving using Machine Learning.Hands-on experience with Python, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required.Candidates should have in-depth knowledge of machine learning algorithms, and explainable AI methods.Experience with Cloud frameworks such as GCP, AWS is preferred.Experience with Lending and Financial services is a plus.Education:
Bachelor degree or equivalent, Master/PhD preferred.Languages:
EnglishTravel Percent:
0Commitment to Diversity and Inclusion:
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.
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