Security Ml / Ai Engineer, Lead

Toyota Motor Corporation

Plano, Texas, United States
Not specified; not specified; comprehensive health...
3+ years applied ml/ai engineering
Llm fine-tuning experience lora qlora
Cloud ml platform expertise aws sagemaker
This role involves owning the intelligence layer of a new AI-powered security platform to enhance enterprise security operations

Job Summary

  • This role involves owning the intelligence layer of a new AI-powered security platform to enhance enterprise security operations.
  • The team is looking for a highly motivated individual to build feedback loops that continuously improve model accuracy on alert triage.
  • Toyota offers comprehensive benefits including tuition reimbursement, vehicle purchase programs, and a 401(k) plan with company match.

Matching Summary

This role involves owning the intelligence layer of a new AI-powered security platform to enhance enterprise security operations.

Salary

Not specified; Not specified; Comprehensive health care and wellness plans included

Skills & Requirements

Must-have

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

Nice-to-have

  • Security or cybersecurity data background
  • Experience with vLLM or Triton Inference Server
  • HuggingFace ecosystem familiarity
  • RAG architectures and vector database knowledge
  • Multi-model routing or mixture-of-experts
  • Agentic AI patterns and tool use
  • Model cost optimization strategies

Key Requirements

  • 3+ years in applied ML/AI engineering
  • Hands-on LLM fine-tuning experience required
  • Production deployment experience mandatory
  • No visa sponsorship available for this position

Work Rights

Not specified

Tailored Resume

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