AI/ML Engineer – Manufacturing Vision Inspection Systems

Toyota North America; South Carolina; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health care and wellness plans

Tuition reimbursement

Team Member Vehicle Purchase Discount

Relocation assistance

Job summary

Toyota North America is seeking an Engineer in the Manufacturing Innovation & Transformation Department to lead end-to-end engineering and deployment of next-generation automated quality inspection systems across North American facilities.

The role requires advanced AI/ML expertise with camera-based vision systems, strong data lifecycle management, and expertise in Docker/Kubernetes. Willingness to travel up to 30% and work irregular hours as needed.

Qualifications

• Bachelor's degree or higher in Engineering, Computer Science, IT, or related field.
• 2+ years in industrial machine vision and edge AI deployment.
• 3+ years of AI/ML experience with camera-based vision systems.
• Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining.
• Hands-on experience with Docker and orchestration (Kubernetes).
• Knowledge of ONNX Runtime, TensorRT, and embedded hardware optimization.
• Willingness to work weekends, holidays, shutdowns, and multiple shifts as needed; up to 30% overtime.
• Ability to travel up to 30% (US, Canada, Mexico, other manufacturing sites, and Japan).

Responsibilities

• Model Development & Training.
• Production Deployment & MLOps.
• Edge Optimization.
• Manufacturing System Integration.
• Data Strategy & Quality Control.
• Reliability & Sustainment.
• Innovation & Collaboration.

Skills

Machine vision

Edge AI deployment

AI/ML

Docker

Kubernetes

Data lifecycle management

Travel readiness

Education

Bachelor's degree or higher in Engineering or related field

Tools

ONNX Runtime

TensorRT

Job description

Overview

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.

Who we are

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's Manufacturing Innovation and Transformation Department is looking for a passionate and highly motivated Engineer.

Reporting to the Manufacturing Innovation Manager, this role leads end-to-end engineering and deployment of next-generation automated quality inspection systems for Toyota's North American manufacturing facilities, supporting the Production Engineering Division and SOAR Group's goal of improving manufacturing competitiveness.

What you'll be doing

• Model Development & Training

• Production Deployment & MLOps

• Edge Optimization

• Manufacturing System Integration

• Data Strategy & Quality Control

• Reliability & Sustainment

• Innovation & Collaboration

What you bring

• Bachelor's degree or higher in Engineering, Computer Science, IT, or related field.

• 2+ years in industrial machine vision and edge AI deployment.

• 3+ years of AI/ML experience with camera-based vision systems.

• Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining.

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).

• Knowledge of ONNX Runtime, TensorRT, and embedded hardware optimization.

• Willingness to work weekends, holidays, shutdowns, and multiple shifts as needed; up to 30% overtime.

• Ability to travel up to 30% (US, Canada, Mexico, other manufacturing sites, and Japan).

Added bonus if you have

• Master's or advanced degree with a strong foundation in optical systems, computer vision, image processing, or AI automation.

• Research background in optical physics (specular reflection, deflectometry, multi-spectral imaging) applied to production-grade deep learning.

• 5+ years of software project management involving internal and external stakeholders.

• Experience integrating AI safety controls and optical fault-handling into PFMEAs, camera trigger reliability frameworks, and QCPs.

• Expertise in synthetic data generation (GANs, VAEs, NeRFs, Blender) and domain randomization.

• Experience with high-speed inline inspection and vision-based process control.

• Knowledge of IIoT data pipelines and messaging standards.

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].