Security AI / ML Engineer, Lead

TCC Toyota Motor Credit Corporation Company; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Vehicle purchase discount

Lease program

Health and wellness benefits

401(k) with company match

Paid holidays & PTO

Job summary

Toyota Financial Services is seeking an ML/AI Security Lead to own the intelligence layer of a new AI-powered security platform. You will design prompt patterns, curate security data pipelines, and fine-tune models for enterprise threat detection and alert triage.

You will build evaluation frameworks, implement a robust feedback loop, and collaborate with engineers on multi-agent orchestration. Applicants should have 3+ years in production ML/AI and strong Python, PyTorch skills.

Qualifications

• Three+ years in applied ML/AI engineering with production deployment.
• Hands-on experience with LLM fine-tuning (LoRA, QLoRA, or full fine-tuning).
• Experience with cloud ML platforms (AWS SageMaker): jobs, tuning, registry, endpoints.
• Proficiency in PyTorch for training and custom architecture.
• Experience building evaluation pipelines with automated metrics and human evaluation.
• Understanding of transformer architectures and attention mechanisms.
• Python fluency with production engineering practices (CI/CD, monitoring).
• Strong communication to explain model behavior to non-ML stakeholders.

Responsibilities

• Design prompt engineering patterns for managed AI service integration.
• Build data pipelines from security data lake with labeling and versioning.
• Fine-tune models on enterprise security data for alert triage and classification.
• Implement analyst feedback loops to improve model accuracy.
• Develop model evaluation frameworks with metrics and analyst agreement.
• Create a model routing layer based on complexity, latency, and cost.
• Monitor production models for drift and failure modes.
• Collaborate on multi-agent architectures and autonomous triage workflows.

Skills

Applied ML/AI

LLM fine-tuning

Cloud ML platforms

PyTorch

Model evaluation

Python

Tools

AWS SageMaker

Triton Inference Server

vLLM

Hugging Face PEFT

Hugging Face Hub

Job description

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.

Toyota does not offer support or sponsorship of job applicants for employment‑based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration‑related employment (e.g., H‑1B, O‑1, E‑3, H‑1B1, TN, F‑1 OPT, F‑1 STEM, OPT, F‑1 CPT, ‘job flexibility benefits’ [also known as I‑140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

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 integration
• Build training data pipelines from the security data lake — curating, labeling, and versioning datasets from real enterprise security telemetry
• Fine‑tune models on organization‑specific security data — alert triage, risk scoring, finding classification
• Implement the analyst feedback loop — capturing human corrections to continuously improve model accuracy
• Build model evaluation frameworks with rigorous metrics (F1, precision, recall, false positive rates) benchmarked against analyst agreement
• Design and implement a model routing layer — directing each task to the optimal model based on complexity, latency requirements, and cost
• Monitor models in production for drift, accuracy degradation, and emerging failure modes
• Implement centralized token usage monitoring for leadership visibility into AI consumption and cost control
• Collaborate with the Lead Engineer on agent architectures — multi‑agent orchestration, tool use, and autonomous triage workflows
• Deploy and manage model inference endpoints across cloud ML services and container‑based serving
• Build 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 data
• Experience with cloud ML platforms (e.g., "AWS SageMaker"): training jobs, hyperparameter tuning, model registry, endpoint deployment
• PyTorch proficiency for model training and custom architecture
• Experience building evaluation pipelines — automated metrics, human evaluation protocols, A/B testing
• Understanding 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 detection
• Familiarity with model serving at scale (vLLM, Triton Inference Server, Tensor RT optimization)
• Hugging Face Ecosystem Experience Model Hub, tokenizers, datasets library, PEFT
• Experience with RAG architecture and vector databases
• Background in multi‑model routing or mixture‑of‑experts approaches
• Understanding of agentic AI patterns — tool use, chain‑of‑thought, multi‑step reasoning
• Experience with model cost optimization — quantization, distillation, caching strategies
• Self‑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 respect
• Professional growth and development programs to help advance your career, as well as tuition reimbursement
• Team Member Vehicle Purchase Discount
• Toyota Team Member Lease Vehicle Program (if applicable)
• Comprehensive health care and wellness plans for your entire family
• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable)
• Paid holidays and paid time off
• Referral services related to prenatal services, adoption, childcare, schools and more
• Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
• Relocation assistance (if applicable)

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. 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 [e-mail].

At Toyota, we don’t just have a vision, but a group of talented, dedicated people who work hard every day to turn that vision into reality. Our mission is to build a future where everyone has the freedom to move. We believe that nothing is impossible. We have big dreams and persevere through any obstacles. We work together to create the future of mobility and make the world a better place.

Career Possibilities

Toyota is a place for people who dream big and are determined to make those dreams a reality. We encourage innovation and look for people who will challenge the status quo in order to make the world a better place. We thrive on teamwork and collaboration and know diverse backgrounds, experiences and perspectives are not only the right thing for our people, they are a business imperative. Together, we’re empowered to forge our own paths — to be agile, curious and embrace a growth mindset and immerse ourselves in situations to gain new perspectives and to inspire bold, innovative ways of thinking and working. Our success as a company is directly tied to our team members’ success, and our collective ability to give back to society through an unwavering commitment to delight our customers and make people’s lives better.

If you want to be part of the next‑generation of innovations that help keep the world moving, then join us.

And let’s start our impossible, together.