Job Summary
What you need to know about the role
This job will lead the design, development, and implementation of advanced 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. Meet our team We are the Global Analytics and Data Science (GADS) team, working within GFCCP. Our expertise lies in leveraging machine learning and artificial intelligence to automate and optimize risk and dispute management processes in the back office, delivering scalable solutions.
Job Description
Your way to impact
As a Senior Machine Learning Engineer in the team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams on solution implementation, and integration within complex environments .
Your day-to-day
- 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.
What do you need to bring
- 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 and scaling ML Systems
- MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelors degree in engineering, science, statistics or mathematics with a strong technical background in machine learning.
- Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required.
- Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI).
- Experience with Cloud frameworks such as GCP, AWS is preferred.
- Experience with developing machine learning models at scale from inception to business impact
- Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
- Experience in mentoring and supporting junior data scientists or engineers.
- Experience working in a multi-cultural and multi-location organization - an advantage.
- Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills.
Good to Have
- Experience with applying LLMs, prompt design, and fine-tuning methods
- Experience with developing Gen AI applications/services for sophisticated business use cases and large amounts of 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.
Preferred Qualification
Subsidiary
PayPal
Travel Percent
20
For the majority of employees, PayPals 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
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 https//www.paypalbenefits.com .
Who We Are
Click Here 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 talentaccommodations@paypal.com .
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 Join our Talent Community .
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.
