Security Ml / Ai Engineer, Lead

Toyota Financial Services

Plano, Texas, United States
3+ years applied ml/ai engineering
Hands-on llm fine-tuning experience
Cloud ml platform proficiency aws sagemaker
This role involves owning the intelligence layer of a new AI-powered security platform to enhance alert triage accuracy while controlling costs

Job Summary

  • This role involves owning the intelligence layer of a new AI-powered security platform to enhance alert triage accuracy while controlling costs.
  • The team values diverse, talented members who want to dream, do, and grow within a collaborative environment focused on innovation.
  • Toyota Financial Services offers comprehensive benefits including tuition reimbursement, vehicle purchase programs, and a 401(k) plan with company matching.

Matching Summary

This role involves owning the intelligence layer of a new AI-powered security platform to enhance alert triage accuracy while controlling costs.

Skills & Requirements

Must-have

  • 3+ years applied ML/AI engineering
  • Hands-on LLM fine-tuning experience
  • Cloud ML platform proficiency AWS SageMaker
  • PyTorch for model training and architecture
  • Python fluency with production CI/CD practices
  • Transformer architectures understanding
  • Model evaluation pipeline development

Nice-to-have

  • Security or cybersecurity domain knowledge
  • Experience with vLLM or Triton Inference Server
  • HuggingFace ecosystem familiarity
  • RAG architectures and vector database usage
  • Multi-model routing expertise
  • Agentic AI patterns understanding
  • Model cost optimization strategies

Key Requirements

  • 3+ years in applied ML/AI engineering
  • Production deployment experience required
  • US work authorization (no sponsorship available)

Work Rights

Must have US work authorization

Tailored Resume

Cover Letter