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Machine Learning Engineer
Machine Learning EngineerPayPal • San Jose, CA, United States
Machine Learning Engineer

Machine Learning Engineer

PayPal • San Jose, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Join to apply for the Machine Learning Engineer role at PayPal

Company overview and role context are included below for candidates.

Overview

This job will assist in designing, developing, and implementing machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI / ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities

  • Assist in the development and optimization of machine learning models.
  • Preprocess and analyze datasets to ensure data quality.
  • Collaborate with senior engineers and data scientists on model deployment.
  • Conduct experiments and run machine learning tests.
  • Stay updated with the latest advancements in machine learning.

Minimum Qualifications

  • Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
  • Familiarity with ML frameworks like TensorFlow or scikit-learn.
  • Strong analytical and problem-solving skills.
  • About PayPal and Benefits

    PayPal is committed to fair and equitable compensation practices. Actual compensation is based on location, skills, and experience. The total compensation may include an annual performance bonus, equity, and health benefits. For more information, visit the PayPal benefits site.

    The U.S. national annual pay range for this role is provided by PayPal. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about recruitment fraud, please visit the PayPal careers site.

    PayPal’s balanced hybrid work model offers 3 days in the office and 2 days remote to foster in-person collaboration and flexibility.

    Our Commitment to Diversity and Inclusion

    PayPal provides equal employment opportunity (EEO) to all persons and will provide reasonable accommodations for qualified individuals with disabilities. If you cannot submit an application due to an accessibility barrier, please contact us at paypalglobaltalentacquisition@paypal.com.

    Belonging at PayPal means creating a workplace where everyone can do their best work with a sense of belonging. We are committed to a diverse workforce reflective of the communities we serve.

    Additional Information

    Req ID : R0130478

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    Machine Learning Engineer • San Jose, CA, United States

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