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Senior AI Machine Learning Engineer

PayPal

San Jose (CA)

Hybrid

USD 84,000 - 205,000

Full time

30+ days ago

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Job summary

A leading company in financial services seeks a Senior AI Machine Learning Engineer to drive innovation and enhance customer experiences. This role involves leveraging advanced AI/ML technologies to optimize platforms and mentor team members, impacting millions worldwide.

Benefits

Flexible work environment
Employee shares options
Health and life insurance

Qualifications

  • 5-8 years of experience in AI/ML.
  • Strong proficiency in machine learning concepts and algorithms.
  • Experience with cloud platforms and containerization technologies.

Responsibilities

  • Design and deploy scalable generative AI solutions.
  • Ensure high code quality and performance through testing.
  • Mentor team members and foster collaboration.

Skills

Machine Learning
Programming
Communication

Education

Masters in Computer Science
Bachelor in Computer Science

Tools

TensorFlow
Python
Hadoop
Spark
SQL

Job description

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The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:
As a technical lead in PayPal’s Enterprise AIML platform team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, you'll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members.

Job Description:
Meet our team

We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Senior ML Engineer to join our AIML Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience.

Your day-to-day

  • 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.


What Do You Need To Bring
Qualifications:

  • 5-8 Years of experience
  • 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.
  • Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities.
  • 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 enhance the platform's capabilities
  • Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner


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 https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is $84500 to $204600

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

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 https://www.paypalbenefits.com

Who We Are:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

Commitment to Diversity and Inclusion

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 paypalglobaltalentacquisition@paypal.com.

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

REQ ID R0115027

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Software Development, Financial Services, and Technology, Information and Internet

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