AI/ML Engineer – Manufacturing Vision Inspection Systems
Toyota North AmericaResponsibilities
- Design and implement computer vision models for defect detection, segmentation, and classification.
- Use synthetic data, active learning, domain randomization, and augmentation to address rare defects and improve model robustness.
- Package and deploy models with Docker and Kubernetes while implementing version control, rollback, observability, drift detection, and retraining practices.
- Optimize inference for NVIDIA Jetson, Intel accelerators, and other edge hardware to meet real-time moving-line inspection requirements.
- Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST.
- Lead defect image collection, annotation workflows, model validation quality gates, calibration, backup and restore, and root cause analysis.
- Develop deflectometry, reflection, and multi-camera imaging solutions and lead inspection booth software deployments through Start of Production.
- Conduct plant trials and collaborate with manufacturing, automation, IT, enterprise AI, and Toyota technical organizations.
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 AI/ML experience with camera-based vision systems.
- Experience managing the full model lifecycle from data collection and labeling through validation, rollout, monitoring, and retraining.
- Hands-on experience with Docker and Kubernetes.
- Knowledge of ONNX Runtime, TensorRT, and embedded hardware optimization.
- Willingness to work weekends, holidays, shutdowns, and multiple shifts, with up to 30% overtime.
- Ability to travel up to 30% within the United States, Canada, Mexico, other manufacturing sites, and Japan.
- Preferred qualifications include an advanced degree, optical systems or optical physics research, software project management, AI safety controls, synthetic data generation, high-speed inline inspection, vision-based process control, and IIoT data pipeline experience.
Benefits
- Teamwork-focused and flexible work environment with professional growth, development programs, and tuition reimbursement.
- Team Member Vehicle Purchase Discount and Toyota Team Member Lease Vehicle Program where applicable.
- Comprehensive health care and wellness plans for the employee’s family.
- Toyota 401(k) Savings Plan with company match and potential annual retirement contribution.
- 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.
- Relocation assistance where applicable.
- The role requires on-site manufacturing support, travel up to 30%, and availability for weekends, holidays, shutdowns, and multiple shifts.
Tech Stack
Categories
About Toyota North America
Mundialmente, a Toyota construiu, ao longo de mais de 80 anos, um modelo de negócio reconhecido por suas bases de eficiência e busca contínua da produtividade, movida pela ambição de colaboradores aptos a oferecer soluções de mobilidade cada vez melhores às pessoas. No Brasil, em mais de 65 anos de história, a marca consolidou-se ao construir um legado pautado na busca incansável pela melhoria contínua de processos, estratégias, produtos e serviços, além de solidificar cada relacionamento no decorrer dos anos pelo viés do Respeito pelas Pessoas e Contribuição com a Sociedade – valores transversais da cultura da corporação. Aqui no País, a subsidiária da Toyota mantém ativamente três unidades produtivas: Indaiatuba, Sorocaba e Porto Feliz (todas localizadas no Estado de SP), e orgulha-se por deter o título de primeira operação fora do Japão, quando iniciou atividades no município de São Bernardo do Campo, em meados de 1962. Para mover este legado adiante, a empresa conta com 6.000 colaboradores, sempre aptos a vencer desafios do cotidiano do setor e aprimorar competências que são fundamentais para o surgimento de talentos fundamentais para o futuro da companhia no Brasil.