Machine Learning Scientist - San Jose, United States - PayPal

PayPal

Verified Company

San Jose, United States

2 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

At PayPal (

NASDAQ:
PYPL), we believe that every person has the right to participate fully in the global economy.

Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:

PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal.

You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal.

Your goal will be to optimize the customer journey through personalized, thrilling experiences.

With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.

Job Description:

Your day to day

Develop and implement advanced ML models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.
Design and deploy scalable generative AI solutions as part of the ecosystem.
Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.
Communicate complex concepts and the results of models and analyses to both technical and nontechnical audiences, influencing partners and customers with your insights and expertise.

What do you need to bring:

Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.)
Experience in any one of Recommendation, Ranking, Product and Marketing domains a big plus
Proficient in Programming languages such as Python, SQL.
Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience an advantage
Experience shipping Realtime models a big plus
Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The U.S. national annual pay range for this role is $72700 to $176000

Our Benefits:
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset—you. That's why we offer benefits to help you thrive in every stage of life.

We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

Who We Are:

As part of PayPal's commitment to employees' health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance.

Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite.

Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.