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    Machine Learning Scientist - San Jose, United States - AltFi Ltd

    AltFi Ltd
    AltFi Ltd San Jose, United States

    1 week ago

    Default job background
    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 non-technical 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
    **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
    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 non-technical 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
    **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
    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 total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits.

    For more information, visit

    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.

    We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit


    Who We Are:
    To learn more about our culture and community visit

    PayPal has remained at the forefront of the digital payment revolution for more than 20 years.

    By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy.

    For more information, visit

    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.

    In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at

    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.

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