Security ML Lead: AI-Driven Threat Intelligence

Toyota North America; Plano (TX); In loco; USD 150.000 - 230.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health care

Tuition reimbursement

Team Member Vehicle Purchase Discount

Toyota Team Member Lease Vehicle

401(k) with company match

Paid holidays and PTO

Descrizione del lavoro

Toyota North America’s ML/AI Security Lead role seeks a seasoned engineer to own the intelligence layer of a new AI-powered security platform. You’ll start with prompt engineering and managed AI service integration, then fine-tune models on enterprise security data and build a multi-model serving and routing layer.

You’ll train models that understand our security environment, craft feedback loops to improve accuracy, and ensure high alert triage accuracy while keeping costs predictable through

Competenze

• 3+ years in applied ML/AI engineering (production deployment required).
• Hands-on experience with LLM fine-tuning (LoRA/QLoRA or full fine-tuning).
• Experience with cloud ML platforms (AWS SageMaker) for training, tuning, registry, endpoints.

Mansioni

• Design and implement prompt engineering patterns for managed AI service integration.
• Build training data pipelines from the security data lake with labeling and versioning.
• Fine-tune models on enterprise security data for alert triage and risk scoring.
• Implement analyst feedback loops to improve model accuracy.
• Develop model evaluation frameworks with metrics like F1, precision, recall.

Conoscenze

ML engineering

LLM fine-tuning

Cloud ML

PyTorch

Eval pipelines

Transformers

Python Dev

Communication

Strumenti

AWS SageMaker

Descrizione del lavoro

Toyota North America’s ML/AI Security Lead role seeks a seasoned engineer to own the intelligence layer of a new AI-powered security platform. You’ll start with prompt engineering and managed AI service integration, then fine-tune models on enterprise security data and build a multi-model serving and routing layer.

You’ll train models that understand our security environment, craft feedback loops to improve accuracy, and ensure high alert triage accuracy while keeping costs predictable through