PayPal is looking to design, develop, and implement machine learning models and algorithms to solve complex problems, enhance services through innovative AI/ML solutions, drive business insights, and improve customer experiences.
Requirements
- 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.
- 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.
- 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 developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data.
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.
- Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
- Experiencewith applying LLMs, prompt design, and fine-tuning methods
Other
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
- 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.
- The US national annual pay range for this role is $137,500 to $236,500
