Sr Machine Learning Engineer, Dublin

Description

:

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.

Additional Responsibilities & Preferred Qualifications:

Additional Responsibilities

Lead the design, development, and deployment of advanced data science models that improve fraud detection and risk decisioning.

Partner with cross-functional stakeholders to translate business needs into analytical solutions and data products.

Establish and drive best practices in data science, experimentation, and model governance.

Ensure data quality, accuracy, and integrity across all analytical workflows and pipelines.

Mentor and support junior team members in technical skill development and project execution.

Stay current with emerging technologies, tools, and methodologies in machine learning, analytics, and data engineering.

Preferred Qualifications

Master’s degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related field.

​Minimum of 5 years of experience in machine learning, data science, engineering, or a related domain.

Strong SQL expertise, with the ability to translate business requirements into analytical data assets. Experience in operational ETL workflows and data warehouse/mart development is a significant plus.

Experience working with Teradata, Hadoop, or Google Cloud technologies.

Solid foundation in statistical modeling, data modeling, and quantitative analysis; 2+ years of hands-on experience in data science or optimization preferred.

Proficiency in business intelligence tools (e.g., Tableau) and the ability to quickly learn new programming languages or tools.

High proficiency in Python or R; experience in machine learning techniques and feature engineering is a plus.

Experience in product design or product management is highly desirable.

Demonstrated ability to draw clear, relevant conclusions from complex analyses and communicate insights to influence business strategy.

Strong interpersonal skills with the ability to work effectively in collaborative, cross-functional environments.

Resourceful, fast learner, critical thinker, and effective problem solver.

Ownership-oriented team player with a commitment to delivering high-quality results.

Subsidiary:

PayPal

Travel Percent:

0

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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 comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

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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.