Sr Software Engineer

undefined ago • 5 Years + • Software Development & Engineering • $137,500 PA - $236,500 PA

Job Summary

Job Description

This role involves designing, developing, and implementing scalable engineering solutions to support machine learning models and analytics workflows, addressing complex problems. You will collaborate closely with data scientists, ML engineers, software engineers, and platform teams to enhance AI/ML-driven services by building and maintaining scalable ETL processes. Your responsibilities will include ensuring data quality, streamlining access to reliable data sources and features, and enabling efficient data processing to drive business insights and improve customer experiences. Additionally, you will contribute to developing solutions for monitoring and observability of AI/ML systems in production, identify performance bottlenecks, implement improvements to enhance pipeline reliability and throughput, and support root cause analysis and troubleshooting for live issues impacting model performance.
Must have:
  • Design, develop, and implement scalable engineering solutions to support machine learning models and analytics workflows.
  • Collaborate closely with data scientists, ML engineers, software engineers, and platform teams to enhance AI/ML-driven services.
  • Build and maintain scalable ETL processes.
  • Ensure data quality, streamline access to reliable data sources and features.
  • Enable efficient data processing to drive business insights and improve customer experiences.
  • Contribute to developing solutions for monitoring and observability of AI/ML systems in production.
  • Identify performance bottlenecks, implement improvements to enhance pipeline reliability and throughput.
  • Support root cause analysis and troubleshooting for live issues impacting model performance.
  • Develop and optimize machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models.
Good to have:
  • Full stack development of Django and React.js
  • Databases like PostgreSQL, Neo4j, InfluxDB, MongoDB
  • Building scalable ETL and data pipelines that process large volumes of data
  • Monitoring and alerting systems
  • Master's degree in Engineering or related field
Perks:
  • Flexible work environment
  • Employee shares options
  • Health and life insurance
  • Medical, dental, vision, and other benefits

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 Summary:

This role involves designing, developing, and implementing scalable engineering solutions to support machine learning models and analytics workflows, addressing complex problems. You will collaborate closely with data scientists, ML engineers, software engineers, and platform teams to enhance AI/ML-driven services by building and maintaining scalable ETL processes.

Your responsibilities will include ensuring data quality, streamlining access to reliable data sources and features, and enabling efficient data processing to drive business insights and improve customer experiences. Additionally, you will contribute to developing solutions for monitoring and observability of AI/ML systems in production, identify performance bottlenecks, implement improvements to enhance pipeline reliability and throughput, and support root cause analysis and troubleshooting for live issues impacting model performance.

Job Description:

Essential Responsibilities:

  • Develop and optimize machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

  • Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification:

  • Experience with full stack development of Django and React.js
  • Experience with databases like PostgreSQL, Neo4j, InfluxDB, MongoDB.
  • Experience building scalable ETL and data pipelines that process large volumes of data
  • Experience with monitoring and alerting systems.
  • Master's degree in Engineering 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 US national annual pay range for this role is $137,500 to $236,500

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.

About Us

PayPal is on a mission to revolutionize commerce globally. We’re driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless.

Learn more at PayPal.com/Jobs

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About The Company

PayPal is on a mission to revolutionize commerce globally. We’re driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. ​Learn more at. Learn more about privacy-related questions or data retention.

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