דרושים United States, Ohio, Platform Engineer ב-United States

Essential Responsibilities:

• 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

Expected Qualifications:

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

Preferred Expertise:
Knowledgeable in IVR development and voice-based applications, including IVR solution design, voice recognition technologies, voice UX design, text-to-speech systems, and telephony API integrations.

Key Skills:

Backend: Java, Spring Boot, Spring WebFlux, Python
Frontend: Node.js, JavaScript, TypeScript, React.js, with testing tools such as Cypress, Playwright.
Architecture: Cloud-native systems, microservices, distributed systems, CI/CD pipelines, design patterns.
Machine Learning/Natural Language Processing a plus: Experience with frameworks like LangChain, LangGraph, and LangFlow, as well as techniques like prompt engineering, RAG, and observability in LLM applications.

Travel Percent:

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 .

Our Benefits:

Any general requests for consideration of your skills, please

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.

Essential Responsibilities:

• Establish a shared vision across the company for one or more products, or a platform product enabling development & scalability, with a deliberate and cohesive strategy.
• Leads product strategy development, and develops a clear, executable view of the product strategy with cross-functional stakeholders.
• Influences the architectural roadmap and balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
• Champions the customer experience and prioritizes customer needs in product requirements and decision making.
• Defines and uses metrics that inform the success of products including usability studies, research and market analysis.
• Standardizes workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
• Responsible for product profitability, including budgetary decisions.
• Leads operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews. Interfaces with senior leadership as needed.
• Maximizes efficiency in a constantly evolving environment where the process is fluid and creative solutions are the standard.

Expected Qualifications:

• 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• 2 years of experience leading others

Own

Platform Strategy & Vision

• Define and lead theproduct vision for theAIDecisioning Platform, aligned with business goals across risk, compliance, and credit.

• Articulate along-term roadmapthat scales decisioning capabilities globally, across high-volume, low-latency environments.

End-to-End Stack Ownership

• Drive modernization across theentireAIdecisioningstack, including:

• Foundational data ingestion and quality frameworks

• Real-time and batch feature computation

• AI modeltraining,executionand orchestration

• Rules engines, decision logic, and policyevaluation

• Monitoring, alerting and agentic response

• Ensure the platform ismodular, scalable, and domain-agnosticwhile supporting domain-specific needs.

Product Development & Execution

• Lead product lifecycle from ideation to launch, with an emphasis on customer-centric design and developer experience.

• Balance technical depth and product intuition to makeprioritizationandtradeoffs in a complex ecosystem.

Speed, Accuracy & Resilience

• Set the product direction for improvingdecision latency, model integration speed, and decision quality.

• Prioritize performance, reliability, and observability as first-class platform capabilities.

Cross-Functional Leadership

• fraud, credit, compliance, data science, and infrastructure teamsto understand evolving needs and use cases.

• Align stakeholders across domains to drivestandardization, reduce duplication, and accelerate adoption.

Looking For

Minimum Qualifications

• 10+ years inproduct management, with 5+ years inplatform,ML Ops,ML infrastructure, or decisioning systems

• Strong technical background indataanalytics, ML/AI platforms, feature stores, or policy engines

Preferred Qualifications

• Proventrack recordbuildingdata-driven,ML/AI, real-time decisioning or scoring platforms at scale

• Experience supportingmultiple risk domains or regulated environmentsis a strong plus

Leadership & Mindset

• Strategic thinker who canown a long-term visionwhile delivering iteratively

• Platform evangelist who treats internal teams as customers

• Excellent communication and stakeholder alignment skills

• Comfortable leading in amatrixed, fast-paced environment

Why Join Us?

This is acareer-defining opportunityto shape the next-generationof AIdecisioning platform at PayPalimpactingbillions of decisions annuallyacross fraud, credit, and compliance.join a mission-drivenmodernizing andbuilding scalableand decisioninginfrastructure that powers the future of trustworthy financial innovation.

not justoptimizingdecisions.reimagining howfaster, smarter, and safer.

Ready to redefinedecisioning at PayPal? Apply now and help us buildnext.

Travel Percent:

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 .

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.

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.

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.

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.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Essential Responsibilities:

• Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff
• Follows well-established internal conventions and standard procedures
• Understands internal standards & processes an applies them to make technical decisions
• Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
• May contribute to code & design reviews

Expected Qualifications:

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

• Proficient in Java programming, including developing, testing, and maintaining scalable applications using modern frameworks and best practices.

Belonging at PayPal:

Any general requests for consideration of your skills, please

• Gain hands-on experience working on real-world large language model (LLM) and machine learning projects within the domains of commerce, personalization, recommendation, and user behavior understanding.
• Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling.
• Collaborate with experienced engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions.
• Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems.
• Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability.
• Present findings and recommendations to stakeholders across the organization, highlighting the business impact of personalization and LLM applications.
• Network with talented professionals and gain valuable insights into the world of financial technology, personalization, and applied machine learning.

• Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning).
• Familiarity with large language models (e.g., GPT, LLaMA, Mistral) and techniques for fine-tuning, prompt engineering, or embeddings-based retrieval.
• Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience with data analysis, cleaning, and wrangling.
• Excellent communication, collaboration, and problem-solving skills.
• A passion for learning and exploring new technologies.
• Highly motivated and proactive with a strong work ethic.

Basic Requirements

• Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a related field .

• Strong theoretical foundation in ML algorithms, optimization, and statistical learning theory .

• Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch .

• Experience conducting independent research , with publications in relevant ML/AI conferences or journals (preferred).

• Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences.

• Highly motivated, curious, and proactive in exploring new research directions.

Program Information and Requirements

• This is a Summer 2026 PhD Internship (Spring and Fall sessions are not available).

• Must be enrolled in a PhD program at an accredited university, returning to studies after the internship.

• Must reside in the U.S. during the program.

• Must be authorized to work in the U.S. for the duration of the internship.

The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national hourly pay range for this role is $66/hour.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Actively participate in the technical discovery phase with customers to understand their needs and requirements.
• Assist customers during the integration and onboarding process, ensuring smooth and successful deployment of solutions.
• Explain complex technical concepts to C-level executives and non-technical audiences, ensuring they understand PayPal's technology and value proposition.
• Record and review the solutioning process with the integration team to ensure technical and business requirements are met.
• Represent the technical voice of the customer internally, participating in product design and roadmap reviews to ensure customer needs are addressed.

Expected Qualifications:

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

• Master’s degree in computer science or equivalent.
• Ability to analyze strategic objectives and define specific tactical goals required to achieve them.
• 8+ years of experience with Payments (Credit Card, Banking, Online, Offline, Checkout flows, Consumer Wallets, etc.), especially with e-commerce systems, payments gateways, and payment processors.
• 8+ years of experience in Solutions and/or Integration Engineering or Professional Services, preferably with large to enterprise-level companies engaged in e-commerce.
• 5+ years of experience with system discovery process, requirements gathering, systems architecture, or development.
• 5+ years of industry experience with POS systems/devices or mobile systems.
• 5+ years of industry experience with Vertical SaaS platforms solution design and/or integrations.

Travel Percent:

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 .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• 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

Expected Qualifications:

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

Additional Responsibilities

• Proven experience performing both manual and automated testing for large-scale web applications, ensuring quality across frontend, backend, and data layers.

• Strong expertise in frontend and backend validation, including UI flows, APIs, and service-level integrations.

• Hands-on experience with modern automation frameworks such as Playwright or Cypress, with a deep understanding of test design and best practices for scalable web testing.

• Ability to design and build test automation frameworks from scratch, defining architecture, structure, and reusable components that accelerate team-wide adoption.

• Experience defining test strategies, coverage plans, and quality gates for complex features and distributed systems.

• Familiarity with continuous integration and delivery pipelines (e.g., Jenkins, GitHub Actions, CircleCI) to enable automated regression and continuous validation.

• Skilled in debugging and root-cause analysis, using browser developer tools, network inspection, and logs to troubleshoot issues across the full stack.

• Strong analytical and communication skills, with the ability to influence quality practices across engineering teams and advocate for release readiness.

Travel Percent:

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 .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and optimization of advanced machine learning models.
• Oversee the preprocessing and analysis of large datasets.
• Deploy and maintain ML solutions in production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models, making necessary adjustments.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

• Design, develop, and deploy autonomous AI agents capable of performing complex tasks across business workflows.

• Collaborate with cross-functional teams to integrate LLM-based systems into existing platforms and tools.

• Develop frameworks for goal-driven, multi-step reasoning anddecision-making inAI agents.

• Implement agent orchestration, including memory, planning, and tool-use capabilities.

• Monitor and optimize agent performance using data-driven metrics, ensuring scalability, reliability, and compliance.

• Stay updated with the latest developments in LLM, RAG, and agentic system architectures, applying best practices to product innovation.

Travel Percent:

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 .

Belonging at PayPal:

Any general requests for consideration of your skills, please