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Staff Machine Learning Engineer Job Opening In Dublin – Now Hiring PayPal

Staff Machine Learning Engineer

    Ireland Jobs Expertini Expertini › Ireland › Jobs › Dublin › Computer Occupations › Staff Machine Learning Engineer

Job description

Description

:

Essential Responsibilities:

  • Design and implement holistic and data-driven solutions to support Paypal’s global financial and fraud risk objectives.
  • Partner with product and platform engineering teams to build cutting-edge, scalable, and secure ML-based products that enhance global customer experiences.
  • Collaborate closely with data engineering and analytics teams to ensure reliable, high-quality training data and robust monitoring infrastructure.
  • Oversee the development and maintenance of production-level data pipelines, machine learning algorithms, and advanced statistical models.
  • Utilize large-scale datasets to perform exploratory data analysis and feature engineering to drive strategic business decisions.
  • Ensure data integrity, fairness, and explainability in deployed machine learning systems through rigorous testing, validation, and bias detection practices.
  • Communicate business insights and progress updates effectively to stakeholders and senior leadership through clear visualizations and narratives.
  • Lead, mentor, and grow a team of data scientists and ML engineers, fostering innovation in machine learning techniques such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.

    • Preferred Qualification:

  • 8+ years of work experience in relevant positions (e.g. data scientist, data analyst, statistician, decision scientist, FP&A, product/process manager, risk management, army intelligence units) domains.
  • Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
  • Experience with LLMs, prompt engineering, RAG pipelines, or AI agents is a strong plus.
  • Deep understanding of root cause analysis, anomaly detection, or incident forensics.
  • Proven ability to translate business problems into data science solutions.
  • Excellent communication skills and a collaborative mindset.
  • Quick-thinker, fast learner, wide general knowledge, problem solver
  • Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field.

    PhD a plus.

    • Subsidiary:

    PayPal

    Travel Percent:

    20

    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 .

    Who We Are:

    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 at .

    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.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PayPal adheres to the cultural norms as outlined by Expertini.

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    7. Obeying Ireland laws and regulations

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    Interview Tips for Staff Machine Learning Engineer Job Success

    PayPal interview tips for Staff Machine Learning Engineer

    Here are some tips to help you prepare for and ace your Staff Machine Learning Engineer job interview:

    Before the Interview:

    Research: Learn about the PayPal's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Final Thought:

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    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the PayPal's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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