PayPal is looking to solve the problem of implementing AI and LLM solutions aligned with business objectives, and to design and develop AI/ML models to drive innovation and improve user experience.
Requirements
- Master’s degree in computer science or engineering.
- 2+ years of experience in Natural Language Processing (NLP) and machine learning.
- Strong knowledge of NLP techniques: embeddings, attention mechanisms, sequence-to-sequence models, generative AI.
- Experience designing and implementing NLP and LLM models, including Agentic AI workflows.
- Proficiency in Python, with extensive experience using TensorFlow, PyTorch, and other ML libraries.
- Solid foundation in software engineering fundamentals and strong analytical/problem-solving skills.
- Experience with Big Data technologies: BigQuery, Bigtable, Spark, Kafka, graph DBs, etc.
Responsibilities
- Collaborate with global product and engineering teams to design and implement AI and LLM solutions aligned with business objectives.
- Design, develop, and deliver AI/ML models, leveraging state-of-the-art technologies to drive innovation.
- Analyze user behavior on existing solutions and enhance functionality using AI/ML-driven approaches.
- Develop and deliver solutions across all phases of the software development lifecycle (SDLC).
- Build platforms that enable adoption of generative AI across business processes.
- Participate in design and architecture discussions with product and engineering teams.
- Write clean, well-documented, and maintainable code that adheres to engineering requirements: availability, security, performance, scalability, self-serviceability, and observability.
Other
- Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Ability to quickly adapt to new technologies and frameworks.
- Passion for innovation and delivering high-quality AI solutions.
- Fluent in written and spoken English.
- 0- travel percent, with a flexible work environment, including 3 days in the office and 2 days at home or in the office
