AI/ML Engineer – Manufacturing Vision Inspection Systems
Toyota North America3 days ago
Georgetown, KY, USAMid Level
Responsibilities
- Design and implement computer vision models for defect detection, segmentation, and classification.
- Accelerate model training using synthetic data, active learning, domain randomization, and augmentation.
- Package models with Docker and manage production deployments through Kubernetes or equivalent orchestration.
- Implement MLOps practices including version control, rollback strategies, observability, drift detection, monitoring, retraining, and failure analysis.
- Optimize inference for NVIDIA Jetson, Intel accelerators, and other edge or embedded hardware to meet real-time inspection latency requirements.
- Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA and MQTT.
- Align deployments with Toyota's ICS+, GALC, and TVIP plant connectivity and reliability standards.
- Lead defect-image collection campaigns, annotation workflows, model validation, calibration, and quality gates.
- Meet uptime and availability targets through monitoring, backup and restore processes, and root-cause analysis.
- Develop and evaluate deflectometry, reflection, multi-camera imaging, and optical AI technologies through on-site manufacturing trials.
- Lead inspection-booth software deployments from concept through Start of Production and support North American rollout.
- Collaborate with manufacturing sites, Toyota technical organizations, production engineering, IT, automation, and enterprise AI teams.
Requirements
- Bachelor's degree or higher in Engineering, Computer Science, IT, or a related field.
- At least 2 years of experience in industrial machine vision and edge AI deployment.
- At least 3 years of experience with AI/ML and camera-based vision systems.
- Experience managing the full model lifecycle, including data collection, labeling, validation, rollout, monitoring, and retraining.
- Hands-on experience with Docker and Kubernetes.
- Knowledge of ONNX Runtime, TensorRT, and embedded hardware optimization.
- Ability and willingness to work weekends, holidays, shutdowns, and multiple shifts, with up to 30% overtime.
- Ability to travel up to 30% across the US, Canada, Mexico, other manufacturing sites, and Japan.
- Preferred advanced degree and foundation in optical systems, computer vision, image processing, or AI automation.
- Preferred research background in optical physics, including specular reflection, deflectometry, or multi-spectral imaging, applied to production deep learning.
- Preferred 5+ years of software project management involving internal and external stakeholders.
- Preferred experience integrating AI safety controls and optical fault handling into PFMEAs, camera-trigger reliability frameworks, and QCPs.
- Preferred expertise in synthetic data generation using GANs, VAEs, NeRFs, Blender, and domain randomization.
- Preferred experience with high-speed inline inspection, vision-based process control, IIoT data pipelines, and messaging standards.
Benefits
- Teamwork-oriented and flexible work environment.
- Professional growth and development programs and tuition reimbursement.
- Team Member Vehicle Purchase Discount and Toyota Team Member Lease Vehicle Program, if applicable.
- Comprehensive health care and wellness plans for the employee's family.
- Toyota 401(k) Savings Plan with company match and annual retirement contribution, if applicable.
- Paid holidays and paid time off.
- Referral services for prenatal services, adoption, childcare, schools, and related needs.
- Health Savings Account, Health Care FSA, and Dependent Care FSA.
- Relocation assistance, if applicable.
- The role requires up to 30% travel and may require weekends, holidays, shutdowns, multiple shifts, and up to 30% overtime.
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About Toyota North America
At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible. Ready to Dream, Do and Grow with us?