Security AI / ML Engineer, Lead
Toyota USA1 day ago
Plano, TX, USAStaff+
Responsibilities
- Design and implement prompt-engineering patterns for managed AI service integration.
- Build pipelines that curate, label, and version training data from enterprise security telemetry.
- Fine-tune models for alert triage, risk scoring, and finding classification using organization-specific security data.
- Capture analyst approval and rejection signals in feedback loops and retraining pipelines.
- Build model evaluation frameworks using automated metrics, human evaluation, A/B testing, and analyst-agreement benchmarks.
- Design model-routing systems based on task complexity, latency, and cost.
- Monitor production models for drift, accuracy degradation, and emerging failure modes.
- Implement centralized token-usage monitoring for AI consumption visibility and cost control.
- Collaborate on multi-agent orchestration, tool use, and autonomous triage workflows.
- Deploy and manage model inference endpoints across cloud ML services and container-based serving.
Requirements
- 3+ years of applied ML/AI engineering experience with production deployment rather than research-only experience.
- Hands-on LLM fine-tuning experience using LoRA, QLoRA, or full fine-tuning on domain-specific data.
- Experience with cloud ML platforms such as AWS SageMaker, including training jobs, hyperparameter tuning, model registries, and endpoint deployment.
- Proficiency with PyTorch for model training and custom architecture development.
- Experience building evaluation pipelines with automated metrics, human evaluation protocols, and A/B testing.
- Understanding of transformer architectures and attention mechanisms beyond API usage.
- Fluency in Python with production engineering practices including testing, CI/CD, and monitoring.
- Strong communication skills for explaining model behavior and limitations to non-ML stakeholders.
- Preferred experience with cybersecurity data, scalable model serving, vLLM, Triton Inference Server, TensorRT optimization, Hugging Face tools, RAG, vector databases, multi-model routing, mixture-of-experts, agentic AI, quantization, distillation, and caching strategies.
Benefits
- Team-oriented, flexible, and respectful work environment.
- Professional growth and development programs with tuition reimbursement.
- Team Member Vehicle Purchase Discount and Toyota Team Member Lease Vehicle Program when applicable.
- Comprehensive health care and wellness plans.
- Toyota 401(k) Savings Plan with company match and an annual retirement contribution when applicable.
- Paid holidays and paid time off.
- Referral services for prenatal services, adoption, childcare, schools, and related needs.
- Tax-advantaged Health Savings Account, Health Care FSA, and Dependent Care FSA accounts.
- Relocation assistance when applicable.
Categories
About Toyota USA
Toyota USA (Toyota Motor North America) manufactures and sells Toyota cars, trucks, and SUVs for U.S. customers, and provides financing and mobility services. Founded in 1957 and headquartered in Plano, Texas, it oversees North American operations and plants that build models like the Camry and Tundra, and is expanding battery and EV production in Kentucky and North Carolina.