Senior Machine Learning Engineer jobs at Paypal in France, Toulouse

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 .

The US national annual pay range for this role is $84,500 to $140,250

Belonging at PayPal:

Any general requests for consideration of your skills, please

As a Staff Product Security Engineer at PayPal, you’ll help secure 434M accounts and $1.6T in annual payment volume across PayPal and its business lines. You will embed security into the software development lifecycle (SDLC) by shaping architecture decisions, influencing roadmaps, and scaling impact through automation, tooling, and mentorship. You will also perform in-depth design, architecture, and code reviews, working directly with developers and product teams to ensure products are secure by design.

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 .

The US national annual pay range for this role is $152,500 to $262,350

Belonging at PayPal:

Any general requests for consideration of your skills, please

Braintree SDK Engineering seeks to reinvent online payments and unlock merchants to offer multiple payment methods. We enable merchants worldwide to accept payments in mobile apps, prioritizing developer experience. We need talented, self-driven engineers to develop new payment methods for Braintree’s iOS Mobile SDK. You'll design next-gen developer experience, build SDK features, contribute to our open-source codebase, and engage with external developers. Seeking someone eager to learn multiple technologies with strong developer empathy.

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.

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 .

The US national annual pay range for this role is $123,500 to $212,850

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Performs the most highly complex SaaS and enterprise-wide applications assignments using enterprise systems knowledge and extensive business expertise
• Leads large and complex cross-functional and cross-organizational enterprise systems projects and programs with high visibility
• Designs, evaluates, and selects process, product, and service improvements based on thorough understanding of business needs and industry trends
• Develops, evaluates, and selects standards, tools, and knowledge requirements for skill and career development

Minimum Qualifications:

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Previous management experience

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 .

The US national annual pay range for this role is $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please

This job involves leading complex projects that enhance user experiences across various platforms. They participate in problem resolution by applying functional expertise and industry knowledge, developing methods for new assignments to improve processes. Responsibilities include collaborating with teams to implement global process improvements based on user insights and mentoring junior team members in user-centered design practices.

Essential Responsibilities:

• Develop and articulate clear objectives in enhancing user and customer experiences that deliver results and meet organizational goals
• Influence decision-making at the senior leadership level
• Perform the most highly complex digital and physical products and services using domain knowledge and extensive business expertise
• Develop and deliver innovative strategies that benefit customers and product users
• Lead major business projects which impact the Experience Design job family
• Design, evaluate, and select process, product, and service improvements based on thorough understanding of user and customer needs and industry trends
• Mentor and guide junior team members in user-centered design practices.

Expected Qualifications:

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

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 .

The US national annual pay range for this role is $169,500 to $291,500

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.

• Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Strong knowledge of statistical and machine learning techniques, including but not limited to logistic regression, time-series modeling, random forests, support vector machines, gradient boosting (e.g., XGBoost), and deep learning architectures (e.g., CNNs, RNNs).
• Proficiency in programming and big-data technologies, with hands-on experience in tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark.
• Relevant modeling experience in one or more of the following domains: credit risk scoring, fraud detection, financial forecasting, or marketing analytics - gained through industry or academic research.
• Strong collaboration and communication skills, with the ability to work effectively both independently and as part of a cross-functional team.
• Ability to articulate complex technical concepts clearly to non-technical stakeholders and build constructive working relationships across functions.

Preferred Qualifications

• Experience with Large Language Models (LLMs), Agentic AI, or related generative AI applications.
• Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus.

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 .

The US national annual pay range for this role is $137,500 to $236,500

Belonging at PayPal:

Any general requests for consideration of your skills, please

This job delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC). It involves advising management on project-level issues, guiding junior engineers, operating with little supervision, and applying knowledge of technical best practices.

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:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

As a
Software Engineer, Backend Java, you will architect and lead the development of complex backend systems, drive innovation, and mentor the team.

• Architect and design large-scale backend systems.
• Lead and mentor engineering teams.
• Drive technical excellence and best practices
• Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.

What do you need to bring:

• Bachelor's degree in Computer Science or related field.
• 5+ years of backend development experience.
• Proficiency in at least one backend language (Java, Python, Ruby on Rails)
• Expertise in architecting and developing large-scale backend systems using Java EE with extensive experience in Spring MVC or Hibernate.
• Proven track record of designing, building, and maintaining complex RESTful APIs and microservices.
• Leadership in guiding engineering teams through complex technical challenges and design decisions.
• In-depth knowledge of distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
• Experience with large-scale data processing, caching strategies, and performance optimization.
• Strong experience with distributed systems and microservices.
• Proven ability to lead and mentor teams.

Preferred Qualifications:

• Experience with Agile methodology , large-scale, high-performance systems.
• Knowledge of the payment processing industry and relevant regulations.
• Experience with cloud platforms (AWS, GCP, Azure).
• Contributions to open-source projects

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 $

Any general requests for consideration of your skills, please