Sr Machine Learning Engineer — Agentic Systems

PayPal

Not specified; not specified; comprehensive benefi...
3d onsite
Agentic ai system development
Llm-based tool use and orchestration
Production ml model deployment
The role involves owning the end-to-end delivery of production-grade agentic AI systems specifically designed for risk management in fintech

Job Summary

  • The role involves owning the end-to-end delivery of production-grade agentic AI systems specifically designed for risk management in fintech.
  • Candidates must demonstrate a track record of shipping multiple AI/ML systems from problem framing through deployment and iteration.
  • PayPal offers a balanced hybrid work model with three days in the office and two days at home or another office location.

Matching Summary

The role involves owning the end-to-end delivery of production-grade agentic AI systems specifically designed for risk management in fintech.

Salary

Not specified; Not specified; Comprehensive benefits including paid time off and healthcare coverage

Skills & Requirements

Must-have

  • Agentic AI system development
  • LLM-based tool use and orchestration
  • Production ML model deployment
  • Risk management domain expertise
  • Neural network design and training
  • SQL and data pipeline engineering

Nice-to-have

  • Multi-agent architecture experience
  • Vector search and retrieval optimization
  • A/B testing experimentation frameworks
  • Policy engine and routing policies
  • Cross-functional collaboration skills
  • Incident response and postmortems

Key Requirements

  • 3+ years relevant experience
  • Bachelor's degree or equivalent
  • Hands-on experience with PyTorch or TensorFlow
  • Fluency in SQL and ETL design
  • Strong software engineering fundamentals

Work Rights

Not specified

Tailored Resume

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