Machine Learning & Computer Vision Developer
Machine Learning & Computer Vision Developer
Tommy Car Wash Systems is looking for a Machine Learning & Computer Vision Developer who enjoys building intelligent systems that operate in the real world. This role sits at the intersection of machine learning research and production software engineering. You will work on problems such as optical character recognition (OCR), license plate recognition, and CNN-based visual perception systems, while also helping design and deploy computer vision applications that run in live operational environments.
What can Tommy's offer you?
• Base pay and eligibility for annual profit-sharing bonus
• Full insurance package including Health, Dental, Vision, Life, Disability, Employee Assistance
• Dependent Care FSA with on-site Daycare options
• 401k match and complimentary financial planning services
• Paid time off and paid holidays
• Opportunity for continued education and tuition assistance
• Valuable learning and development program
• Significant ability to grow internally for motivated and strong performing team members
• Fun, energetic, family-oriented work culture with an emphasis on team member morale
• Growing nationwide brand / presence
Position Responsibilities:
• Develop machine learning and computer vision systems for real-world applications.
• Design, train, and evaluate CNN-based models for visual recognition tasks.
• Build production software that integrates ML models into larger applications and pipelines.
• Implement real-time or near-real-time processing of image and video data.
• Prototype and test new approaches to perception problems using experimental data.
• Contribute to data engineering tasks including dataset creation, labeling, and preprocessing.
• Deploy models to edge devices or cloud infrastructure and maintain their performance in production.
• Write clean, maintainable code using modern software engineering practices.
• Collaborate with engineers, product teams, and stakeholders to translate operational needs into intelligent systems.
• Other duties as assigned; duties and responsibilities may change at any time with or without notice.
Applied Machine Learning Systems:
• OCR and license plate recognition pipelines
•
Tommy Car Wash Systems is looking for a Machine Learning & Computer Vision Developer who enjoys building intelligent systems that operate in the real world. This role sits at the intersection of machine learning research and production software engineering. You will work on problems such as optical character recognition (OCR), license plate recognition, and CNN-based visual perception systems, while also helping design and deploy computer vision applications that run in live operational environments.
What can Tommy's offer you?
• Base pay and eligibility for annual profit-sharing bonus
• Full insurance package including Health, Dental, Vision, Life, Disability, Employee Assistance
• Dependent Care FSA with on-site Daycare options
• 401k match and complimentary financial planning services
• Paid time off and paid holidays
• Opportunity for continued education and tuition assistance
• Valuable learning and development program
• Significant ability to grow internally for motivated and strong performing team members
• Fun, energetic, family-oriented work culture with an emphasis on team member morale
• Growing nationwide brand / presence
Position Responsibilities:
• Develop machine learning and computer vision systems for real-world applications.
• Design, train, and evaluate CNN-based models for visual recognition tasks.
• Build production software that integrates ML models into larger applications and pipelines.
• Implement real-time or near-real-time processing of image and video data.
• Prototype and test new approaches to perception problems using experimental data.
• Contribute to data engineering tasks including dataset creation, labeling, and preprocessing.
• Deploy models to edge devices or cloud infrastructure and maintain their performance in production.
• Write clean, maintainable code using modern software engineering practices.
• Collaborate with engineers, product teams, and stakeholders to translate operational needs into intelligent systems.
• Other duties as assigned; duties and responsibilities may change at any time with or without notice.
Applied Machine Learning Systems:
• OCR and license plate recognition pipelines
•