Machine Learning & Computer Vision Developer

Tommy's•Holland, MI

58d•Onsite

About The Position

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.

Requirements

Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related field (or equivalent experience).
Strong programming skills in OOP language, preferably Python.
Experience with machine learning frameworks such as PyTorch or TensorFlow.
Experience working with computer vision or image processing techniques.
Solid understanding of software engineering fundamentals including version control, testing, debugging, and modular design.
Ability to move between rapid experimentation and production-grade development.
Views customer care as high priority; exhibits a positive can-do attitude
Displays a strong initiative and drive to identify gaps and fill them
Excellent written and oral communication skills
Process-oriented and strong collaborator with ability to communicate and manage well at all levels of the organization and across various departments
Strong organizational and time management skills; ability to multitask and prioritize workload
Highly adaptable with strong problem-solving and critical thinking skills; ability to exercise good judgment and make sound data-backed decisions
High level of integrity and dependability with a strong sense of urgency and results-orientation

Nice To Haves

Experience building OCR or license plate recognition systems.
Experience with convolutional neural networks for vision tasks.
Familiarity with OpenCV or similar image processing libraries.
Experience working with video pipelines or camera systems.
Experience deploying models to edge devices (Jetson, Coral, etc.).
Experience with Docker, Linux, and CI/CD workflows.
Familiarity with C++ or another performance-oriented language.
Experience working with cloud ML platforms or model lifecycle tools.
Experience with cloud platforms (AWS, Google Cloud, Azure etc).
Familiarity with Node.js, C++, JavaScript, and other programming languages.
Experience with PCs and camera hardware connections.
Technical savvy and proficient in Microsoft Office; experience within database systems a plus

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.

Benefits

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