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מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

דרושים Staff Experience Researcher ב-Paypal ב-צרפת

מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Staff Experience Researcher ב-France והצטרפו לרשת החברות המובילות בתעשיית ההייטק, כמו Paypal. הירשמו עכשיו ומצאו את עבודת החלומות שלך עם אקספוינט!
חברה (1)
אופי המשרה
קטגוריות תפקיד
שם תפקיד (1)
France
עיר
נמצאו 103 משרות
10.12.2025
PP

PayPal Staff Machine Learning Scientist France, Auvergne-Rhône-Alpes

Limitless High-tech career opportunities - Expoint
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...
תיאור:

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

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.

Additional Responsibilities & Preferred Qualifications

  • MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science,statisticsor mathematics witha strongtechnical background in machine learning.

  • Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, isrequired

  • possessa comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally,expertisein at least one of the following specialized areas isrequired: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI

  • Experience with Cloud frameworks such asGCP,AWS is preferred.

  • Experience withdeveloping machine learning modelsat scale frominceptionto business impact

  • Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring

  • xperience inmentoringand supporting junior data scientists or engineers

  • Experience working in a multi-cultural and multi-location organization – an advantage

  • , outstanding communication skills


Good to Have:

  • withapplying LLMs, prompt design, and fine-tuning methods

  • withdeveloping Gen AIapplications/servicesfor sophisticated business use cases andlarge amountsof unstructured data.

  • Knowledge of Payments industry, transaction risk domain.

  • Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications

Our Benefits:

Any general requests for consideration of your skills, please

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10.12.2025
PP

PayPal Staff Product Security Engineer France, Occitania, Toulouse

Limitless High-tech career opportunities - Expoint
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...
תיאור:

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.

Additional Responsibilities & Preferred Qualifications:

  • 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

Show more

משרות נוספות שיכולות לעניין אותך

10.12.2025
PP

PayPal Sr Staff Experience Researcher France, Auvergne-Rhône-Alpes

Limitless High-tech career opportunities - Expoint
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...
תיאור:

Job SummaryYou'll be responsible for establishing measurement frameworks that connect customer feedback to behavioral and financial data. You'll leverage data analytics, statistical methods, and customer listening posts to generate actionable insights that drive strategic product decisions across our organization.

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.

Additional Responsibilities & Preferred Qualifications:

  • 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 .

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

P


Belonging at PayPal:

Any general requests for consideration of your skills, please

to view the notice.

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משרות נוספות שיכולות לעניין אותך

10.12.2025
PP

PayPal Sr Staff Data Engineer France, Auvergne-Rhône-Alpes

Limitless High-tech career opportunities - Expoint
Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights. Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems. Collaborate...
תיאור:

This job participates in complex problem resolution and leads projects of diverse scope requiring an understanding of current business trends. They determine methods and procedures for new or special assignments and drive global process improvements through data-driven insights.


Essential Responsibilities:

  • Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
  • Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
  • Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
  • Implement best practices for data management, analysis, and visualization.
  • Ensure data governance and compliance with relevant regulations and standards.
  • Provide mentorship and technical guidance to the data engineering team.

Expected Qualifications:

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

Additional Responsibilities & Preferred Qualifications


To successfully execute on cross-org initiatives that elevate data engineering, we need a T27 who can innovate, drive technical strategy, and ensure that our systems are scalable, efficient, and aligned with GCSC Risk’s broader goals.

Job Description

As the Senior Staff Engineer, Global Risk Data Management within the Credit Infrastructure and Data organization, you will implement common data practices across functional areas that drives standardization, quality, ease of access, accelerates governance practices by treating data as a product and facilitates a data-driven culture across PayPal where data is considered a strategic asset and treated accordingly-with the proper controls and quality.

Position Responsibilities:

  • Must be a self-starter, work independently or as a team member. Proactively remove obstacles to ensure timely delivery of product and goals

  • Write clean and solid code that scales overPB of dataand enforce engineering excellence in the organization

  • Improve data management efficiency through AI capabilities, better process and best practices

  • Embed Privacy-by-Design principles into all data solutions and ensure compliance with regulatory requirements.

  • Provide expertise across the data product development lifecycle—spanning data engineering, architecture, and analytics—to design and deliver reusable, accessible, and high-quality data solutions.

  • Design data structures and taxonomies that support standardization, integration, and alignment with business processes.

  • Deliver technical leadership through analytical thinking, innovation, and detailed specifications.

  • Drive data product execution and adoption through a metrics-based approach

  • Define and communicate data strategy for credit products, aligned with PayPal’s technical direction, evolving credit strategies, and the external data ecosystem

  • Strong product sense to identify data challenges and opportunities, and assess the impact of data-driven solutions

  • Leverage enterprise frameworks, governance tools, and reusable architecture patterns for Credit Risk and cross organizations

  • Foster influential cross-functional relationships through collaboration, proactive planning, and decisive leadership to design scalable solutions across platforms and products.

Technical Leadership Qualities:

  • Strong collaboration skills and ability to influence across all organizations and levels within the company

  • Ability to communicate clearly and succinctly to all levels within the organization- translating the organizations goals into execution plans & metrics

  • Possess the ability to connect, engage and lead with empathy

  • Motivate others through a shared vision and confidence that empowers employees and teams to perform at their best

  • Demonstrate ability to delegate work

  • Operate with transparency and honesty in all interactions

Qualifications

  • 12+ years of experience in enterprise data management, with deep expertise across disciplines including data governance, data architecture, and more.

  • Experience with data management and governance tools and technologies

  • Experience with enabling data products within large organizations

  • Proven experience independently developing and implementing recommended approaches to complex/ambiguous problems while making thoughtful trade-offs

  • Deep understanding and hands-on experience in data platforms

  • Strong technical acumen, being able to quickly understand technical details of a product or platform

  • Strong execution skills-ability to deliver results

  • Excellent verbal and written communication and collaboration skills to effectively communicate across diverse groups within PayPal

  • Comfortable working in a fast-paced, results-oriented environment

  • Shows initiative and exhibits a “can-do” attitude

  • Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate in a cross-functional organization

  • Able to see the “big picture”-the end-to-end connection points associated with data and systems

  • Exhibit a passion for Data Management and Analytics

  • Strong business acumen and interest to deeply understand PayPal’s credit use cases, data producers and data consumers’ needs/pain points

Bonus Qualifications

  • Familiarity with AI/ML pipelines or AI-enhanced data systems (data discovery, data quality monitoring, or integrating ML into ETL flows)

  • Passion for bridging the gap between data engineering and machine learning engineering.

  • Experience enabling ML/AI workloads, such as building feature stores, training data pipelines, or model monitoring infrastructure.

  • Experience in financial services, with a strong preference for exposure to the credit risk domain.

Education:

  • BS or advanced degree in Engineering, Computer Science, or related technical field.

Our Benefits:

Any general requests for consideration of your skills, please

Show more

משרות נוספות שיכולות לעניין אותך

10.12.2025
PP

PayPal Staff Software Engineer France, Auvergne-Rhône-Alpes

Limitless High-tech career opportunities - Expoint
Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system. Determines the technical tasks that other engineers will follow. Actions...
תיאור:

Job Summary
We’re hiring a Staff Software Engineer – Full‑Stack (Web) to guide the technical direction of Venmo’s web products. You’ll work across the stack—React and Next.js on the front end, Node.js and Python services on the back end—delivering features for both consumers and merchants. You'll act as a project leader, coordinating the activities of other engineers, determining technical tasks, and improving existing structures and processes. It involves making technical decisions, collaborating with management to set standards, and representing the company to external partners.

Essential Responsibilities:

  • Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
  • Determines the technical tasks that other engineers will follow
  • Actions result in the achievement of customer, operational, program or service objectives
  • Proactively improves existing structures & processes
  • Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
  • Notices patterns and condenses repetition into densely meaningful generalized solutions
  • Collaborates with management to set/improve standards for engineering rigor
  • Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

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

What You’ll Do

  • Build, test, and ship web features for

    Pay with Venmo
    and
    Business Profiles
    using TypeScript, React, and Next.js.

  • Design and maintain backend services (Node.js, Python, GraphQL) that power those experiences.

  • Champion performance and accessibility; measure what matters and keep our pages fast for every user.

  • Help modernize our stackmoving to server‑side rendering with React Server Components, rolling out edge caching, and tightening DevOps pipelines.

  • Set clear engineering standards around testing, observability, and incident response.

  • Pair with product, design, compliance, and data teams to turn fuzzy ideas into shipped features.

  • Mentor other engineers through code reviews, design sessions, and thoughtful feedback.

  • Explore ways AI can improve both the developer workflow (AI‑pairing, code generation) and the end‑user experience (personalized offers, smarter search).

What We’re Looking For

  • 8+ years building production web applications, with at least 2 years at senior or staff level.

  • Deep knowledge of modern React (hooks, context, Suspense) and TypeScript.

  • Experience designing or evolving backend APIsREST and GraphQLand the services behind them.

  • A track record of raising the technical bar: introducing better architecture patterns, automated tests, and code‑review culture.

  • Familiarity with build and deploy tooling (Webpack/Vite, CI/CD, containerization, cloud services).

  • Comfort navigating ambiguity and explaining trade‑offs in plain language to both technical and non‑technical partners.

  • An inclusive mindsetyou help teammates grow and make decisions that serve a diverse user base.

Nice to Have

  • Payments, risk, or fintech domain experience.

  • Prior work on design systems or component libraries.

  • Exposure to edge computing or serverless architectures (Cloudflare Workers, AWS Lambda).

  • Contributions to open‑source projects, conference talks, or technical writing.

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

Show more

משרות נוספות שיכולות לעניין אותך

09.12.2025
PP

PayPal Principal Experience Architecture & AI Innovation France, Auvergne-Rhône-Alpes

Limitless High-tech career opportunities - Expoint
Establish overall business or technical strategy for user experience initiatives. Negotiate with and influence decision-making reaching the senior executive level. Identify and resolve unique situations of substantial significance in user...
תיאור:

This role will architect the connective tissue between people, tools, and platforms — shaping how Experience Design (XD) operates in an AI-enabled product ecosystem.

Essential Responsibilities:

  • Establish overall business or technical strategy for user experience initiatives.
  • Negotiate with and influence decision-making reaching the senior executive level
  • Identify and resolve unique situations of substantial significance in user interface or interaction design
  • Allocate resources, responsibly and apply creativity to enhancing user and customer experiences across digital and physical products and services
  • Lead the development of user experience strategies that resonate with target audiences.
  • Support and mentor less-experienced roles to provide an example of innovation, excellence, and day-to-day learning

Expected Qualifications:

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

1. AI-Enabled Workflow Architecture

  • Map and re-design design-to-delivery workflows,identifyingwhere automation and intelligence can remove friction or unlock new capability.

  • Prototype AI-assisted processes for design QA, accessibility, content creation, and portfolio planning.

  • Partner with Design Ops and Finance to integrate data pipelines linking Asana, Jira, Figma, and Workday into the AI-Planning system.

2. Experience Intelligence Hub

  • Lead the concept and technical prototype of the

    Experience Intelligence Hub
    — a central layer connecting customer intent data, product telemetry, and design decisions.

  • Define taxonomy, metadata, and data flows between XD, Research, and Product Analytics.

  • Partner with AI Platform teams to safely expose and visualize insights for design use.

3. Systems Innovation

  • Work with the VP Platforms & Tools and Senior Director, Experience Architecture to connect system design, service blueprints, and experience data models.

  • Introduce intelligent pattern libraries that adapt based on usage and performance signals.

  • Prototype AI copilots and plugins that bring intelligence into daily design workflows.

4. Capability & Enablement

  • Coach cross-functional partners on AI-native ways of working; create documentation and proof points that scale adoption.

  • automationmaturity and capability development.

  • Partner with the CDO Office to quantify ROI and efficiency gains from automation pilots.

5. Cross-Functional Collaboration

  • Operate across Design, Product, Engineering, Data Science, and Finance.

  • Translate technical possibilities into design outcomes — showing, not telling, what intelligence-driven design looks like in practice.

Qualifications

  • 10–15 years blending design, engineering, and systems work (e.g., design technologist, systems designer, creative technologist, or principal IC).

  • Strong command of modern product toolchains: Figma,Replit, Cursor, Jira, Confluence, Workday, and APIs.

  • Demonstrated experience integrating AI/ML models, building plugins or workflow automations.

  • Fluency inJavaScript/TypeScriptor Python; ability to prototype intelligent tools.

  • thinkerwho can visualize systems and communicate them clearly to executives.

  • in ambiguous environments and can independentlyidentifyleverage points for change.

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 $188,000 to $323,950


Our Benefits:

Any general requests for consideration of your skills, please

Show more

משרות נוספות שיכולות לעניין אותך

09.12.2025
PP

PayPal Staff Content Designer Agentic AI Systems France, Auvergne-Rhône-Alpes

Limitless High-tech career opportunities - Expoint
Develop and articulate clear plans to develop content strategies that align with the product's goals and user needs and meet team performance. Perform more-complex work assignments using highly specialized content...
תיאור:

We’re looking for a Staff Content Designer to help define the next generation of Checkout at PayPal. You’ll focus on Agentic AI experiences. You'll build intelligent, adaptive systems that anticipate what customers need and simplify how they pay.In this role, you’ll own a complex, high-visibility area of Checkout and partner deeply across product, design, research, engineering, and AI teams. You’ll shape how the experience communicates, guides, and learns from users to build trust and reduce friction at every step.You’ll bring structure to complex problems, design with empathy and data, and help evolve how PayPal designs for clarity in an AI-driven world.

Essential Responsibilities:

  • Develop and articulate clear plans to develop content strategies that align with the product's goals and user needs and meet team performance
  • Perform more-complex work assignments using highly specialized content strategy knowledge and advanced business expertise
  • Lead some projects or programs within the content design function and may coordinate activities of others
  • Design process, product, and service improvements based on understanding of user needs and industry trends
  • Determine methods and procedures on content design strategies that may impact activities of others

Expected Qualifications:

  • 5+ 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 $100,500 to $173,250


Our Benefits:

Any general requests for consideration of your skills, please

Show more

משרות נוספות שיכולות לעניין אותך

Limitless High-tech career opportunities - Expoint
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...
תיאור:

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

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.

Additional Responsibilities & Preferred Qualifications

  • MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science,statisticsor mathematics witha strongtechnical background in machine learning.

  • Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, isrequired

  • possessa comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally,expertisein at least one of the following specialized areas isrequired: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI

  • Experience with Cloud frameworks such asGCP,AWS is preferred.

  • Experience withdeveloping machine learning modelsat scale frominceptionto business impact

  • Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring

  • xperience inmentoringand supporting junior data scientists or engineers

  • Experience working in a multi-cultural and multi-location organization – an advantage

  • , outstanding communication skills


Good to Have:

  • withapplying LLMs, prompt design, and fine-tuning methods

  • withdeveloping Gen AIapplications/servicesfor sophisticated business use cases andlarge amountsof unstructured data.

  • Knowledge of Payments industry, transaction risk domain.

  • Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications

Our Benefits:

Any general requests for consideration of your skills, please

Show more
בואו למצוא את עבודת החלומות שלכם בהייטק עם אקספוינט. באמצעות הפלטפורמה שלנו תוכל לחפש בקלות הזדמנויות Staff Experience Researcher בחברת Paypal ב-France. בין אם אתם מחפשים אתגר חדש ובין אם אתם רוצים לעבוד עם ארגון ספציפי בתפקיד מסוים, Expoint מקלה על מציאת התאמת העבודה המושלמת עבורכם. התחברו לחברות מובילות באזור שלכם עוד היום וקדמו את קריירת ההייטק שלכם! הירשמו היום ועשו את הצעד הבא במסע הקריירה שלכם בעזרת אקספוינט.