Sr Software Engineer

Overview

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.

The Pay Pal AI Tech Platform team is building a world class end-to-end AI/ML platform to scale up AI/ML solution development  a key software engineer in the team, you will be responsible for designing, building, and scaling platforms and MLOps functionality supporting the platform and customer needs. 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 technical expertise and practical experience in AI and machine learning, with a focus on model serving and compute platforms. You will be responsible for designing and developing the platform to enable data scientists and ML solution engineers to build and deliver AI/ML solutions in a self-service manner.

• Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
• Advises immediate management on project-level issues
• Guides junior engineers
• Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
• Applies knowledge of technical best practices in making decisions

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• 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 the platform products.
• Familiar with AI/ML concepts, algorithms, and techniques, with hands-on experience in delivering AI/ML solutions.
• Practical knowledge of infrastructure components including compute, networking, and storage for modern cloud environments, especially with Kubernetes.
• Solid understanding of the AI/ML development lifecycle, with familiarity in MLOps practices such as model deployment, serving, and monitoring.
• Proficient in Programming languages such as Java or Python.
• Experience with LLM inferencing frameworks (vLLM, SGLang, Tensor
  
  RT-LLM) and LLM model optimization (nice to have).
• Experience with ML model serving and orchestration frameworks such as MLflow, Seldon, Triton Inference Server, or Ray Serve (nice to have).

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: San Jose, California : ($ - $ Annually)

Additional Location(s) :
Pay Range: No other…