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Sr ML Infrastructure Engineer in San Jose at PayPal

Date Posted: 3/5/2021

Job Snapshot

  • Employee Type:
  • Location:
    San Jose
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
  • Job ID:

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

PayPal is the world’s leader in online payments processing. The company helps buyers and sellers around the world make and receive payments. PayPal is headquartered in San Jose, CA with multiple offices within the United States and around the world. We are hiring creative and talented ML Engineers to the PayPal AI Platform team. You will have a chance to work on solving real world problems and gain practical experience in end to end Machine Learning life cycle. You will design, build, and optimize the platform for ML pipeline and data infrastructure. Additionally, you will gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build ML models used across all PayPal domains.


  • Develop highly scalable systems, algorithms and tools on one platform to support machine learning and deep learning solutions.
  • Develop, integrate and optimize end to end AI pipeline.
  • Collect, analyze and synthesize requirements and bottleneck in the technology, systems and tools used by machine learning engineers and scientists,develop solutions that improves efficiency, leverage more amount of data efficiently.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, GPU, TPU and FPGA)
  • Explore state-of-the-art deep learning techniques
  • Partner with data science and domain engineering teams to support the business transformation through AI.

Minimum Qualification

  • 3+ years working experience in engineering position in software development or data engineering.
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, fraud detection or artificial intelligence
  • Bachelor/Master degree in computer science and machine learning related area
  • Proficiency of programming languages in Python, Java or Golang
  • Strong communication skills, thrives in fast pace environment, ability to manage multiple tasks/projects at one time etc.
  • Willingness to learn and adapt to new challenges
  • Passion on Machine learning technology

Preferred Qualification

  • 5+ years working experience in engineering position in software development or data engineering.
  • 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, fraud detection or artificial intelligence
  • MS degree in Computer Science or related quantitative field or Ph.D. degree in Computer Science or related quantitative field
  • Proven experience to translate insights into business recommendations
  • Experience with Kubeflow, Jupyter Notebook, Katib, Airflow, Argo
  • Experience with one of the deep learning frameworks such as Tensorflow or Pytorch
  • Experience with GPU technology such as CUDA, Numba, TensorRT
  • Experience with Hadoop/HBase/Pig or MapReduce /Spark

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

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



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