MTS 1, Machine Learning Engineer

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 Summary:

Job Description:

PayPal, Inc. seeks MTS 1, Machine Learning Engineer in San Jose, CA 

Job Duties: Create innovative artificial intelligence (AI)/machine learning (ML) solutions that enhance personalization for PayPal users, with a focus on Al/ML algorithms supporting ranking and recommendation problems among other challenges. Write scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency. Collaborate with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators for ranking and recommendation models. Conduct experiments to measure these key performance indicators as well as derive actionable insights from the data, to continually improve the technology and drive business outcomes. Write scalable production-quality code in Python, Java, Scala, or a similar programming language. Design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark. Utilize experience with Graph-based algorithms and infrastructure, experience working on feed-based ML ranking and recommendation systems, and prior experience working in a cloud-based environment such as GCP (Google Cloud Platform). Utilize hands-on experience with conducting experiments in various areas of personalization and causal inferencing. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Experience designing, training, and deploying scalable machine learning models to solve business problems, leveraging statistical algorithms and advanced machine learning concepts (1.5 years).

2. Experience developing AI solutions, utilizing deep learning, reinforcement learning models, and large language models (LLMs) to enhance automation, optimization, and intelligent decision-making across various domains (1.5 years).

3. Experience designing and implementing personalized recommendation algorithms using collaborative filtering, hybrid approaches, or deep learning models to enhance user experience and engagement (1.5 years).

4. Experience conducting exploratory data analysis (EDA), statistical modeling, and visualization to derive insights, identify patterns, and make data-driven decisions (1.5 years).

5. Experience in writing scalable, efficient, and production-ready Python code for machine learning, data processing, and automation, utilizing industry-standard libraries and frameworks (1.5 years).

6. Experience writing complex SQL queries using SQL Query, optimizing database performance, and managing large-scale data storage solutions for analytics and application development (1.5 years).

7. Experience designing and deploying scalable, secure, and high-performance cloud-based applications using platforms such as AWS, GCP, and Azure for ML model deployment and data processing (1.5 years).

8. Experience designing, executing, and analyzing A/B tests to measure the impact of changes, optimize product performance, and improve key business metrics using statistical methodologies (1 year).

EOE, including disability/vets.

Salary: $187,741.00-270,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

PayPal is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience.  Your recruiter can share more information about our total compensation package during the hiring process.

Must be legally authorized to work in the U.S. without sponsorship.

Subsidiary:

Travel Percent:

PayPal 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, 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.