CareerPlan

Staff Machine Learning Engineer

San Jose, California, United States of AmericaFull-time$197k–$292k2026-11-04 → 2026-11-10
Hybrid

Core

Lead the design, development, and implementation of advanced machine learning (ML), large language model (LLM), and agentic AI systems to solve complex business and customer problems.

Role type

Staff Machine Learning Engineer (LLM & Agentic AI)

Builds

Scalable, reliable ML and LLM solutions for PayPal's payment products and internal operations

Domain

Fintech / Payments / AI

Deliverable

production ML models

Required skills

ML frameworks (TensorFlow, PyTorch, scikit-learn), cloud platforms (AWS, Azure, GCP), data processing, model deployment, LLM application development, agentic system design, LLM optimization

Preferred skills

Deep neural network (DNN) design, large-scale recommendation/search/ranking systems, LLM fine-tuning (LoRA/PEFT), RAG, prompt engineering, multi-agent orchestration (LangGraph, LangChain, AutoGen), LLM evaluation and guardrails, inference optimization (vLLM, quantization)

Responsibilities

Lead development and optimization of advanced ML models, oversee preprocessing and analysis of large datasets, deploy and maintain ML solutions in production, integrate ML models into products, monitor and evaluate deployed model performance

Seniority

Staff, hands-on IC with architectural leadership