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Principal Machine Learning Engineer - AI

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PayPal

Aug 9

Applications are closed

  • Job
    Full-time
    Expert Level
  • San Jose

Requirements

  • Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products.
  • Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.
  • Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
  • Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala.
  • Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka.
  • Proficiency in SQL, ETL, database design.
  • Good understanding of NoSQL database like HBase, Redis, Aerospike.
  • Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs.
  • Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus.
  • Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities.
  • Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
  • Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.

Responsibilities

  • Lead the design and deploy scalable generative AI solutions and productize ML Models that enhance PayPal's ability to provide a seamless customer experience
  • Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices
  • Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform
  • Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
  • Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning
  • Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platform's capabilities

FAQs

What is the role of the Principal Machine Learning Engineer at PayPal?

The Principal Machine Learning Engineer will act as a technical lead within PayPal’s Enterprise AIML platform team, focusing on building and optimizing generative AI solutions and productizing machine learning models to enhance customer experiences.

What qualifications are required for this position?

Candidates should have a Master's or Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, alongside strong proficiency in machine learning concepts and hands-on experience in developing and deploying machine learning models.

What programming languages and technologies should applicants be familiar with?

Applicants should be proficient in multiple programming/scripting languages such as Python, Java, Scala, and Unix/Linux Shell Scripting. Familiarity with Big Data technologies (such as Hadoop, Spark, Kafka), machine learning libraries (such as TensorFlow, PyTorch, and scikit-learn), and cloud platforms (like AWS, Azure, GCP) is also necessary.

Is there a mentorship aspect to this role?

Yes, this position includes mentoring team members, providing technical guidance, and fostering a culture of collaboration, innovation, and continuous learning.

What are PayPal's core values?

PayPal lives by the core values of Inclusion, Innovation, Collaboration, and Wellness.

What is the salary range for this position?

The U.S. national annual pay range for this role is $96,900 to $234,300, based on several factors including work location, relevant skills, and experience.

What benefits does PayPal offer to its employees?

PayPal offers a flexible work environment, employee share options, health and life insurance, and various other benefits aimed at supporting employees' financial, physical, and mental health.

Is PayPal committed to diversity and inclusion?

Yes, PayPal provides equal employment opportunity (EEO) to all individuals, regardless of various protected characteristics, and is dedicated to creating a diverse and inclusive workplace.

What is the work model for employees at PayPal?

PayPal operates on a balanced hybrid work model, offering 3 days in the office for collaboration and 2 days that can be spent at home or in the office.

How can potential applicants get more information about the company culture at PayPal?

Potential applicants can learn more about PayPal's culture and community by visiting their official website at https://about.pypl.com/who-we-are/default.aspx.

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

PayPal is a prominent financial technology company that facilitates online payments and money transfers for individuals and businesses. Their fundamental objective is to empower seamless and secure digital transactions, enabling people to manage their financial lives more efficiently in an increasingly interconnected world. At its core, PayPal strives to be the bridge that connects people with the global economy, offering accessible and convenient solutions to move and manage money, ultimately promoting financial inclusion and empowerment.

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