AI/ML Engineer

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. 

Job Description Summary:

What you need to know about the role:

You will be part of fast paced team that executes Global functions business strategy and focused on driving efficiency through automation and improve productivity of our employees. We are currently seeking an experienced AI/ML engineer who will collaborate closely with cross-functional teams to develop and deploy AI/ML-powered features and tools that optimize employee experiences and drive business outcomes.

Meet our team:
Our team is responsible for leading digital transformation through simplification of day-to-day moments, task as seamless experience for our workforce. We are also accountable for driving technology strategy for HR, Legal, Insights, Global Safety and Security, and driving operational efficiency productivity and cost saving across the Enterprise.

Job Description:

Your way to impact:

As an AI/ML Engineer, you will be responsible for developing and deploying cutting-edge machine learning and artificial intelligence solutions to solve complex problems and enhance our products and services. The ideal candidate will have a strong background in machine learning algorithms, deep learning frameworks, and software engineering principles.. Your role also impacts product and platform convergence, influencing the total cost of ownership. A successful candidate will possess an established background in developing customer-facing experiences, strong technical abilities, excellent project execution skills, effective communication skills, and the motivation to achieve results in a fast-paced environment.

Your day to day:

Adopting internal methodologies, policies, guidelines, and security standards across all areas

Participation of Agile ceremonies in support of building business/technology capabilities

Responsible for deployment related activities including coordination of changes as applicable.

Aligning duties with company, business, department, individual objectives, and goals

Interaction with cross functional teams and business as needed.

Provide production support as defined.

What do you need to bring:

• Strong programming skills: AI/ML engineers must have strong programming skills in languages such as Python, Java, C++, or R. They should be able to write clean, efficient, and well-documented code.
• Understanding of machine learning algorithms and techniques: AI/ML engineers must have a deep understanding of various machine learning algorithms and techniques, such as supervised and unsupervised learning, neural networks, decision trees, and clustering.
• Experience with machine learning libraries: AI/ML engineers should have experience with popular machine learning libraries such as TensorFlow, Keras, PyTorch, or scikit-learn.
• Knowledge of deep learning architectures and techniques: AI/ML engineers should be familiar with deep learning architectures and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning.
• Experience with big data processing frameworks: AI/ML engineers should have experience with big data processing frameworks such as Hadoop, Spark, or Kafka.
• Hands-on experience with Azure AI, MS Workflow, integrating REST-based APIs
• Strong statistical and mathematical skills: AI/ML engineers should have strong statistical and mathematical skills, including linear algebra, calculus, probability theory, and statistical inference.
• Experience with data preparation and data engineering: AI/ML engineers should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation.
• Strong problem-solving skills: AI/ML engineers should have strong problem-solving skills and the ability to identify and solve complex problems.
• Excellent communication skills: AI/ML engineers should have excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

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.

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. For more information, visit  ,   and  .

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 .

Any general requests for consideration of your skills, please

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