Principal Machine Learning Engineer - AI

4 Months ago • 6-8 Years

Job Summary

Job Description

PayPal is seeking a Principal Machine Learning Engineer to lead the design, deployment, and productization of scalable generative AI solutions. Ideal candidate will have expertise in machine learning concepts, algorithms, big data technologies, and cloud platforms.
Must have:
  • Machine Learning
  • Big Data Tech
  • Cloud Platforms
  • AI Solutions
Good to have:
  • Azure Experience
  • TensorFlow/PyTorch
  • NoSQL Databases
  • Distributed Systems
Perks:
  • Flexible Work
  • Employee Shares

Job Details

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.

Job Description:

Your way to impact 
As one of the most senior engineers in the team, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners representing the team within a globally distributed org

Your day-to-day 

  • 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

 What do you need to bring 
Qualifications: 

  • 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. 

Additional Job Description:

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

to

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:

Click Here to learn more about our culture and community.

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.

Similar Jobs

ComeOn Group - QA Engineer - Data Warehouse

ComeOn Group

Silesian Voivodeship, Poland (Hybrid)
3 Weeks ago
Hitachi - FO Technical Consultant_NA MS

Hitachi

Hyderabad, Telangana, India (On-Site)
3 Months ago
PwC - IN_Senior Associate_Global compliance_Contract and compliance_TRS_ Bangalore

PwC

Bengaluru, Karnataka, India (On-Site)
2 Months ago
Unity - DevOps Manager

Unity

Montreal, Quebec, Canada (On-Site)
4 Months ago
Microsoft - Research Intern - Machine Learning and Generation AI

Microsoft

Redmond, Washington, United States (On-Site)
1 Month ago
Attentive - Senior Machine Learning Engineer

Attentive

San Francisco, California, United States (Hybrid)
3 Months ago
Spellbrush - LLM Engineer

Spellbrush

San Francisco, California, United States (On-Site)
6 Months ago
Ubisoft - Senior Machine Learning Engineer H/F/NB

Ubisoft

Paris, Île-de-France, France (On-Site)
8 Months ago
Playtika - Machine Learning Technical Lead

Playtika

Poland (On-Site)
3 Months ago
PwC - Machine Learning & Artificial Intelligence Engineer - Milano [CNS]

PwC

Milan, Lombardy, Italy (On-Site)
4 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Sony Interactive Entertainment - Senior Mobile Software Engineer

Sony Interactive Entertainment

Tokyo, Japan (Hybrid)
4 Weeks ago
Every matrix - Middle Data QA Engineer (Python)

Every matrix

Lviv, Lviv Oblast, Ukraine (Hybrid)
2 Months ago
PlayStation Global - Senior Manager, Security Systems

PlayStation Global

Aliso Viejo, California, United States (Hybrid)
3 Weeks ago
Scanline VFX - Senior Pipeline Developer (Houdini)

Scanline VFX

Toronto, Ontario, Canada (Remote)
3 Months ago
Scanline VFX - Modeler

Scanline VFX

Seoul, South Korea (Hybrid)
3 Months ago
CloudHire - Scala API Architect

CloudHire

India (Remote)
3 Months ago
Payactiv - Database Developer

Payactiv

Milpitas, California, United States (On-Site)
4 Months ago
Google - Senior Software Engineer, Multiplatform, Core

Google

Mexico City, Mexico City, Mexico (On-Site)
3 Months ago
Magic Media - Lead 3D Environment Artist

Magic Media

Vojvodina, Serbia (Remote)
2 Months ago
PwC - IN_Associate_Microsoft365_OneCloud _Advisory _Gurgaon

PwC

Gurugram, Haryana, India (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Jobs in San Jose, California, United States

Tencent - Lead Gameplay Engineer

Tencent

Irvine, California, United States (On-Site)
3 Weeks ago
Next Level Business Services - BigData Architect

Next Level Business Services

Bentonville, Arkansas, United States (On-Site)
3 Months ago
Universal Music - Associate Manager, Data & Analytics, Bilingual (English/Spanish)

Universal Music

Miami Beach, Florida, United States (On-Site)
2 Months ago
AGS - American Gaming Systems - Table Games Compliance Manager

AGS - American Gaming Systems

Nevada, United States (On-Site)
1 Week ago
ByteDance - Cash Management - AMS

ByteDance

Los Angeles, California, United States (On-Site)
1 Month ago
Survios - Mid-Senior Community Manager (TEMP)

Survios

Marina Del Rey, California, United States (On-Site)
5 Months ago
Next Level Business Services - Sr. Python Admin

Next Level Business Services

Saint Paul, Minnesota, United States (On-Site)
3 Months ago
Cadence - Lead Software Engineer, Synthesis

Cadence

San Jose, California, United States (On-Site)
4 Months ago
Blinkhealth - Pharmacy Prior Authorization Specialist (ON SITE)

Blinkhealth

Boise, Idaho, United States (On-Site)
1 Month ago
Varonis  - Strategic Evangelist

Varonis

United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Similar Category Jobs

Trend Micro - Data Scientist

Trend Micro

Manila, Metro Manila, Philippines (On-Site)
15 Years ago
Convai - Prompt Engineering Data Scientist

Convai

Bengaluru, Karnataka, India (On-Site)
7 Months ago
Netflix - Data Science Manager - Consumer Engineering

Netflix

Los Gatos, California, United States (On-Site)
3 Months ago
PwC - Junior Data Scientist - Milano [CNS]

PwC

Milan, Lombardy, Italy (On-Site)
4 Months ago
Attentive - Staff Machine Learning Engineer

Attentive

San Francisco, California, United States (Hybrid)
3 Months ago
Spellbrush - LLM Engineer

Spellbrush

San Francisco, California, United States (On-Site)
6 Months ago
Google - Data Scientist III, Research

Google

New York, New York, United States (On-Site)
3 Months ago
Trend Micro - Data Scientist

Trend Micro

Manila, Metro Manila, Philippines (On-Site)
15 Years ago
Next Level Business Services - SAS Data Scientist

Next Level Business Services

Houston, Texas, United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

About The Company

San Jose, California, United States (Hybrid)

San Jose, California, United States (Hybrid)

Brandenburg, Germany (Hybrid)

Austin, Texas, United States (Hybrid)

London, England, United Kingdom (Hybrid)

San Jose, California, United States (Hybrid)

San Jose, California, United States (Hybrid)

San Jose, California, United States (Hybrid)

Bengaluru, Karnataka, India (Hybrid)

Brandenburg, Germany (Hybrid)

View All Jobs

Get notified when new jobs are added by Paypal

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug