Sr Software 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:

Looking for a machine learning engineer to build efficient, data-driven artificial intelligence platforms that advance PayPal Common platform AI solution capabilities. The candidate should be highly skilled in computer science, data science and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to build ML pipeline and services.

Job Description:

Objectives of this role

• Design and develop machine learning End to End platform for PayPal Common Platform
• Solve complex problems with multilayered data sets, and optimize existing data pipeline and machine learning systems
• Collaborate with data scientists, product manager, platform analysts, architects on production AI solution systems and applications with NLP, Generative AI.
• Build real-time and offline model evaluation pipeline.
• Stay up to date with developments in the machine learning engineering industry

Responsibilities

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools 
• Run machine learning tests and experiments, and document findings and results 
• Construct optimized data pipelines to feed machine learning models
• Consult with managers to determine and refine machine learning objectives 
• Extend existing machine learning libraries and frameworks 
• Build End to End Machine learning monitoring and evaluation pipeline

Skills and qualifications

• Impeccable analytical and problem-solving skills 
• Extensive computer skills, with a deep understanding of probability, data structures, data modeling, algorithm and software architecture 
• In-depth knowledge of machine learning frameworks
• Excellent time management and organizational skills
• Desire to learn

Preferred qualifications

• Proven experience as a machine learning engineer or similar role 
• Excellence programming skills with Python, Java. 
• Excellent communication and collaboration skills
• Innovative mind with a passion for continuous learning 
• General knowledge of building machine learning end to end systems 
• Bachelor’s degree (or equivalent) in computer science or related field

Subsidiary:

PayPal

Travel Percent:

0

-

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

$72700 to $176000

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:
Click Here 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 https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.com.

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.

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