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职位PayPal

Staff Machine Learning Engineer – R&D, Fraud Intelligence

PayPal

Staff Machine Learning Engineer – R&D, Fraud Intelligence

PayPal

Chicago, Illinois, United States of America

·

On-site

·

Full-time

·

2mo ago

必备技能

Machine Learning

The Company Pay Pal has been revolutionizing commerce globally for more than 25 years.

Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal 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.

Pay Pal 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 Pay Pal or Venmo account balance, Pay Pal 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 Pay Pal, 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 Summary:We’re seeking a Machine Learning Engineer with a research-driven mindset to advance the science of fraud detection and prevention.

You’ll design, prototype, and productionize cutting-edge decision models that power our global fraud infrastructure across identity, onboarding, authentication, abuse, scams, and product-specific risks.

Working at the intersection of applied research and large-scale engineering, you’ll develop novel approaches in anomaly detection, supervised learning, and continual learning to uncover and adapt to evolving fraud patterns.

Collaborating with scientists, engineers, and product teams, you’ll turn research into real-world impact—driving innovation in machine learning for digital trust and safeguarding billions of secure transactions worldwide.

Job Description:Essential Responsibilities: Assist in the development and optimization of machine learning models.

Preprocess and analyze datasets to ensure data quality.

Collaborate with senior engineers and data scientists on model deployment.

Conduct experiments and run machine learning tests.

Stay updated with the latest advancements in machine learning.

Minimum Qualifications:Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Familiarity with ML frameworks like Tensor Flow or scikit-learn.

Strong analytical and problem-solving skills.

Additional Responsibilities &:

Preferred Qualifications:

Subsidiary:Pay Pal Travel Percent:0-The base pay for this role will depend on where you work and the relevant experience and expertise you bring.

The expected range of pay for this role by location is:

Primary

Location: | Pay Range:Chicago, Illinois | ($178,500.00 - $265,100.00 Annually)Additional Location(s) | Pay Range:No other locations are assigned to this requisition currently.

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Pay Pal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding.

Any such request is a red flag and likely part of a scam.

To learn more about how to identify and avoid recruitment fraud please visit
https://careers.pypl.com/contact-us.

For
the majority of employees, Pay Pal'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 Pay Pal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:At Pay Pal, 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 comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most.

We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion  Pay Pal 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, Pay Pal 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 Pay Pal: 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 Pay Pal 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 Pay Pal.

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.

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关于PayPal

PayPal

PayPal

Public

PayPal Holdings, Inc. is an American multinational financial technology company operating an online payments system in the majority of countries that support online money transfers; it serves as an electronic alternative to traditional paper methods such as checks and money orders.

25,000+

员工数

San Jose

总部位置

$70B

企业估值

评价

3.6

10条评价

工作生活平衡

3.8

薪酬

3.5

企业文化

3.2

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Flexible hours and remote work options

Good team culture and supportive colleagues

Excellent health benefits

缺点

Poor management and lack of communication

High pressure and stressful work environment

Long hours and high workload

薪资范围

16个数据点

Junior/L3

Mid/L4

Senior/L5

Intern

Junior/L3 · DATA SCIENCE 1

2份报告

$160,000

年薪总额

基本工资

$150,000

股票

-

奖金

-

$195,000

$195,000

面试经验

5次面试

难度

3.2

/ 5

时长

14-28周

体验

正面 0%

中性 80%

负面 20%

面试流程

1

Application Review

2

Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Hiring Manager Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design