About this role
Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.
ML/AI Engineer, Security Intelligence
Location: Plano, Texas
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
Excited to grow your career at Toyota?
We value our talented employees and, whenever possible, strive to help our associates grow professionally before recruiting new talent for open positions. If you think the open position is right for you, we encourage you to apply!
Our people make all the difference in our success.
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for diverse, talented team members who want to Dream. Do. Grow. with us.
Who We're Looking For
Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as an ML/AI Security Lead within the Security Intelligence Engineering organization. You'll own the intelligence layer of a new AI-powered security platform - starting with prompt engineering and managed AI service integration, then progressing to fine-tuning models on enterprise security data, and building a multi-model serving and routing layer. This role is what makes the organization own its intelligence rather than renting it from a vendor. You'll train models that understand the specific security environment, build the feedback loops that make them better over time, and ensure the AI layer delivers high accuracy on alert triage while keeping costs predictable through intelligent model routing.
What you'll be doing
Design and implement prompt engineering patterns for managed AI service integrationBuild training data pipelines from the security data lake - curating, labeling, and versioning datasets from real enterprise security telemetryFine-tune models on organization-specific security data - alert triage, risk scoring, finding classificationImplement the analyst feedback loop - capturing human corrections to continuously improve model accuracyBuild model evaluation frameworks with rigorous metrics (F1, precision, recall, false positive rates) benchmarked against analyst agreementDesign and implement a model routing layer - directing each task to the optimal model based on complexity, latency requirements, and costMonitor models in production for drift, accuracy degradation, and emerging failure modesImplement centralized token usage monitoring for leadership visibility into AI consumption and cost controlCollaborate with the Lead Engineer on agent architectures - multi-agent orchestration, tool use, and autonomous triage workflowsDeploy and manage model inference endpoints across cloud ML services and container-based servingBuild the analyst feedback loop: approval/rejection signals in dashboards feeding back into retraining pipelines What You Bring
3+ years in applied ML/AI engineering (not research-only - production deployment required)Hands-on experience with LLM fine-tuning - LoRA, QLoRA, or full fine-tuning on domain-specific dataExperience with cloud ML platforms (e.g., AWS SageMaker): training jobs, hyperparameter tuning, model registry, endpoint deploymentPyTorch proficiency for model training and custom architecturesExperience building evaluation pipelines - automated metrics, human evaluation protocols, A/B testingUnderstanding of transformer architectures and attention mechanisms (not just API calls)Python fluency with production engineering practices (testing, CI/CD, monitoring)Strong communication skills with the ability to explain model behavior and limitations to non-ML stakeholders Added bonus if you have
Experience with security or cybersecurity data - alert classification, threat detection, anomaly detectionFamiliarity with model serving at scale (vLLM, Triton Inference Server, TensorRT optimization)HuggingFace ecosystem experience - model hub, tokenizers, datasets library, PEFTExperience with RAG architectures and vector databasesBackground in multi-model routing or mixture-of-experts approachesUnderstanding of agentic AI patterns - tool use, chain-of-thought, multi-step reasoningExperience with model cost optimization - quantization, distillation, caching strategiesSelf-motivated individual who thrives in ambiguous environments and can build processes from the ground up What We'll Bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
A work environment built on teamwork, flexibility, and respectProfessional growth and development programs to help advance your career, as well as tuition reimbursementVehicle purchase & lease programsComprehensive health care and wellness plans for your entire familyToyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contributePaid holidays and paid time offReferral services related to prenatal services, adoption, childcare, schools and moreTax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA) Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to [email protected].