Staff Machine Learning Engineer jobs at Paypal in France

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.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Design and develop learning programs that align with business objectives, creating a blueprint for development and delivery that addresses specific learner needs.
• Collaborate with multiple cross-functional teams to assess learning needs and design effective learning programs that enhance employee skills and organizational performance.
• Lead the creation and customization of learning content, ensuring it aligns with the learner experience and is optimized for program objectives.
• Evaluate program effectiveness using feedback, performance metrics, recommending improvements to enhance learning outcomes.
• Support the development of the learning and development strategy, contributing to decision-making regarding resource allocation and program prioritization.

Expected Qualifications:

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

• Demonstrated expertise in learning product management, curriculum architecture, and multi-modal instructional design.

• Strong analytical skills with experience in measuring and reporting on learning impact.

• Experience managing vendors and learning platforms to support scalable program execution.

• Own the learning portfolio roadmap, defining priorities, sequencing, and lifecycle management of programs based on business demand, learner insights, and performance data.

• Apply product-management principles to learning solutions iterating based on feedback, piloting new approaches, and ensuring scalability and continuous improvement.

• Partner with data, analytics, and technology teams to measure portfolio performance, identify capability gaps, and inform future learning investments and innovation priorities.

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

Essential Responsibilities:

• Leverage specialized security expertise to identify and resolve complex security issues, recommending best practices and determining new approaches that have an impact on broader security operations, while aligning security strategies with business priorities
• Partner across teams and key stakeholders to drive security initiatives, leading and solutioning complex projects and programs to strengthen overall security posture.
• Apply advanced analytical skills and sound judgment to solve security challenges, considering diverse perspectives and innovative solutions. Stay current with industry trends and emerging technologies, understanding their security implications to the company’s context.
• Directly contribute to improvements within the security domain and occasionally beyond, ensuring decisions lead to meaningful enhancements in security practices.
• Leverage relationships across teams, both within and outside of security, to influence initiatives and integrate feedback into security processes.

Expected Qualifications:

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

• Lead and conduct security design, architecture, and code reviews, working directly with developers and product teams to ensure security is embedded throughout the SDLC.
• Influence product architecture and roadmap decisions to ensure security is treated as a core design element.
• Drive adoption of security standards and best practices across multiple product lines by mentoring engineers and providing scalable guidance.
• Guide the secure design and integration of AI and large language models (LLMs) in PayPal products and internal security tooling.
• Identify systemic sources of security debt and drive initiatives to remediate and prevent recurrence.
• Provide technical leadership in cross-functional initiatives, shaping architecture, tooling, and processes to raise the overall security bar across PayPal’s ecosystem.
• Scale security impact by developing automation and self-service tooling that enables teams to efficiently address security needs.
• Deliver targeted training and coaching that empowers teams to build securely at scale.
• Stay ahead of emerging threats and technologies, integrating learnings into threat models and product designs.
• Champion a culture of security by empowering teams to own and improve the security of their code and environments.

Minimum Qualifications:

• Expertise in application security vulnerabilities (e.g., OWASP Top 10) and secure coding practices.
• Track record of partnering with developers to remediate vulnerabilities and implement robust security controls.
• Strong written and verbal communication skills, with the ability to influence both technical and executive audiences.
• Experience mentoring and developing engineers.

Preferred Qualifications:

• Experience with application security tools (SAST, DAST, SCA, WAF, Burp Suite).
• Strong programming experience in at least one language such as Ruby, Java, Python, JavaScript, or Swift.
• Knowledge of Kubernetes, Terraform, and version control systems such as Git.
• Hands-on experience with at least one major cloud vendor (AWS, Azure, GCP).
• Strong understanding of authentication and authorization protocols (OAuth 2.0, SAML).

What you need to know about the role

If you bring innovative approaches to solving complex security challenges and want to shape the future of product security at global scale, this role is for you.

Responsibilities will be tailored based on business need, experience, and interest. In your day-to-day role, here are some activities you may be involved in:

• Conduct security design and code reviews, facilitate penetration testing, and contribute to threat models.
• Partner with engineers on secure coding, vulnerability remediation, and defensive design patterns.
• Develop and support in-house tooling (including AI-driven solutions) to scale product security reviews and governance.
• Implement, manage, and operate application security tools (SAST, DAST, SCA, etc.).
• Respond to product security incidents, driving root cause analysis and mitigation.
• Collaborate with developers and platform engineers to identify vulnerabilities and apply mitigating controls.

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

Essential Responsibilities:

• Develop clear objectives and priorities to deliver results and meet organizational goals
• Influence decision-making at the senior leadership level
• Perform the most highly complex research and insights using product knowledge and extensive business expertise
• Develop and deliver innovative strategies that benefit product users and customers
• Analyze research data to identify trends and insights that inform product development and user experience strategies.
• Design, evaluate, and select process, product, and service improvements based on thorough understanding of product needs and industry trends
• Mentor team members in best practices for user research and data analysis.

Expected Qualifications:

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

• Advanced degree (Master's or Ph.D.) in Data Analytics, Psychology, Human-Computer Interaction, Statistics, Economics, or related quantitative field

• Deep expertise in statistical analysis, predictive modeling, and advanced quantitative research methods

• Proficiency in analytical tools including SQL, Python, R, SAS, and visualization platforms like Tableau or Power BI

• Experience with customer experience platforms, survey tools (Qualtrics), and large-scale data collection methodologies

• Strong understanding of experimental design, A/B testing, and longitudinal research approaches

• Expert ability to design, execute, and analyze complex quantitative research studies aimed at understanding and measuring customer experience

• Proven track record of translating large datasets into strategic insights and actionable recommendations

• Experience building and maintaining measurement frameworks that scale across global organizations

• Strategic mindset with exceptional communication and stakeholder management skills

• Demonstrated ability to influence senior leadership and drive organizational change through data-driven insights

• Experience mentoring and developing research capabilities across teams

• Proven ability to present complex quantitative findings in compelling, accessible formats

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 .

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Belonging at PayPal:

Any general requests for consideration of your skills, please

to view the notice.

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:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Additional Qualifications:

• Strong foundation in programming concepts, object-oriented design, and data structures.

• Proficiency in Java with familiarity in frameworks such as Spring Boot, Spring MVC, and Hibernate.

• Understanding of web services and SOA principles (REST, OAuth, JSON) in Java environments.

• Experience with databases (SQL and/or NoSQL) and ORM tools.

• Familiarity with version control systems (e.g., Git) and agile methodologies.

• Strong analytical and problem-solving skills with attention to detail.

• Effective communication and collaboration skills with a willingness to learn from experienced engineers.

Preferred Qualifications:

• Experience with large-scale, high-performance distributed systems.

• Knowledge of the payment processing industry and relevant regulations.

• Familiarity with cloud platforms such as AWS, GCP, or Azure.

• Contributions to open-source projects or active participation in developer communities.

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 annual pay range for this role is $to $

Our Benefits:

Any general requests for consideration of your skills, please

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.

Expected Qualifications:

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

Responsibilities:

• Design, develop, and operationalize scalable machine learning and credit risk models, leveraging PySpark and advanced modeling frameworks.

• Build, train, and optimize statistical and deep learning models focused on credit scoring, fraud detection, and portfolio risk management.

• Collaborate cross-functionally with credit risk analysts, data engineers, and business teams to translate analytical requirements into production-grade credit modeling solutions.

• Ensure model robustness, accuracy, and compliance through rigorous validation, back-testing, and performance monitoring.

• Develop and maintain automated ML pipelines for data ingestion, feature engineering, model training, and deployment across large-scale credit datasets.

• Implement and enhance MLOps practices, including model integration, model monitoring.

• Research and experiment with innovative modeling techniques (e.g., gradient boosting, neural networks, graph-based learning) to improve credit decisioning capabilities.

• Mentor junior team members, conduct peer code reviews, and promote engineering excellence within the credit modeling domain.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related quantitative field.

• 6+ years of experience in machine learning model development and deployment, preferably in the financial services or credit risk domain.

• Strong programming proficiency in Python and SQL, with hands-on experience using PySpark for large-scale data processing.

• Deep understanding of ML frameworks such as TensorFlow, Keras, or PyTorch.

• Expertise in distributed computing, scalable data pipelines, and model optimization techniques.

• Proven experience deploying models in production cloud environments (AWS, GCP, or Azure).

• Demonstrated ability to write clean, well-documented, and production-ready code.

Preferred Qualifications:

• Experience in credit risk modeling.

• Understanding of model governance frameworks, ML explainability (e.g., SHAP, LIME), and regulatory compliance.

• Familiarity with feature store architectures, model drift detection, and automated model retraining workflows.

• Knowledge of data privacy and compliance practices relevant to credit data.

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:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

• Minimum 5 years of experience as a presales consultant, solutions engineer, technical account manager, systems architect, or similar position.

• At least 3 years of experience working directly with large enterprise clients is preferred.

• Industry experience with payments, merchant services, e-commerce, and/or retail.

• Working knowledge of API and web technologies (REST, GraphQL, JavaScript).

• Strongrelationship-buildingskills with internal and external partners and a passion for collaborating on complex projects in a team environment.

• Excellent written and oral communication skills in English. Comfortable presenting to C-level executive audiences.

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