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PayPal · 1 day ago

Principal Software Engineer, Developer Platforms

San Jose, CA

Full-time

Hybrid

Lead/Staff

$66/hr - $66/hr

15+ years exp

PayPal has been revolutionizing commerce globally for more than 25 years. The Principal Software Engineer, Developer Platforms, will drive the vision for Developer Experience of DevOps Tools, CI/CD, and Test environments, empowering PayPal’s engineering teams to thrive.

E-Commerce PlatformsFinTechMobile PaymentsTransaction Processing

No H1B

Responsibilities

Gain hands-on experience working on real-world large language model (LLM) and machine learning projects within the domains of commerce, personalization, recommendation, and user behavior understanding

Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling

Collaborate with experienced engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions

Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems

Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability

Present findings and recommendations to stakeholders across the organization, highlighting the business impact of personalization and LLM applications

Network with talented professionals and gain valuable insights into the world of financial technology, personalization, and applied machine learning

Qualification

Machine LearningLarge Language ModelsPythonData AnalysisDeep LearningPassion for LearningCommunicationCollaboration SkillsProblem-Solving SkillsProactive Work Ethic

Required

Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning)

Familiarity with large language models (e.g., GPT, LLaMA, Mistral) and techniques for fine-tuning, prompt engineering, or embeddings-based retrieval

Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers

Experience with data analysis, cleaning, and wrangling

Excellent communication, collaboration, and problem-solving skills

A passion for learning and exploring new technologies

Highly motivated and proactive with a strong work ethic

Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a related field

Strong theoretical foundation in ML algorithms, optimization, and statistical learning theory

Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch

Experience conducting independent research, with publications in relevant ML/AI conferences or journals

Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences

Highly motivated, curious, and proactive in exploring new research directions

Minimum of 15 years of relevant work experience and a Bachelor's degree or equivalent experience

12+ years of experience in development, infrastructure, or cloud architecture roles, with at least 5 years focused on Developer Platforms or Developer Productivity Engineering

Strong understanding of systems design, enterprise architecture principles, distributed systems, and developer-centric environments

Proven experience with modern CI/CD architectures, developer environment tooling, and internal developer platform solutions like Harness, Jenkins, and GitHub EMU

Experience with developer environments such as test and staging systems, load balancing strategies, and monitoring systems for developer success

Ability to drive technical strategy, governance frameworks, and architectural decision-making with a focus on developer productivity

Strong problem-solving skills, particularly in high-availability and mission-critical environments

Exceptional leadership, communication, and stakeholder management abilities