Sr. Machine Learning Engineer

PayPal PayPal · Fintech · San Jose, CA +1 · Machine Learning Engineering

Sr. Machine Learning Engineer at PayPal in San Jose, CA, focused on designing and implementing ML models and AI Agents for fraud prevention, with responsibilities including data preparation, model optimization, deployment, and staying updated on ML developments. Requires experience in LLM fine-tuning, deep learning frameworks, prompt engineering, agentic framework development, LLM evaluation, production ML systems, API integration, cloud infrastructure, and Python coding.

What you'd actually do

  1. Design and implement machine learning models and AI Agents for a variety of business use cases.
  2. Maintain the existing fraud prevention system.
  3. Review machine learning models and agents.
  4. Work with data engineers to collect, clean, and prepare data for modeling.
  5. Develop prototypes and conduct experiments to validate model approaches.

Skills

Required

  • PyTorch
  • DeepSpeed
  • Accelerate
  • FSDP
  • CrewAI
  • AutoGen
  • LangGraph
  • ReAct
  • vLLM
  • Ray Serve
  • Triton
  • Cosmos
  • Docker
  • Python

Nice to have

  • LLM Fine-Tuning
  • Prompt Engineering
  • Agentic Framework Development
  • LLM Evaluation and Experimentation
  • Production ML Systems and MLOps
  • API/ Tooling Integration
  • Cloud and Compute Infrastructure

What the JD emphasized

  • fraud prevention system
  • LLM Fine-Tuning
  • Deep Learning Frameworks
  • Prompt Engineering and Prompt Optimization
  • Agentic Framework Development
  • LLM Evaluation and Experimentation
  • Production ML Systems and MLOps
  • API/ Tooling Integration
  • Cloud and Compute Infrastructure
  • Python

Other signals

  • design and implement machine learning models and AI Agents
  • maintain the existing fraud prevention system
  • optimize models for performance, accuracy, and scalability in production
  • collaborate with software engineers to deploy models into live systems