Computer Vision & Machine Learning Developer

About the role

Tommy Car Wash Systems is seeking a Computer Vision & Machine Learning Developer to join our dynamic team. The ideal candidate will have a passion for developing intelligent systems that operate in real-world scenarios.

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.

Qualifications & Candidate Attributes

• 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.
• 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 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.
• 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.

Work Environment and Physical Demands

This job operates in a professional hybrid office and remote environment. Office hours are Monday through Friday from 8:00am - 5:00pm. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and operates primarily indoors with limited to no travel expectation. To successfully perform the essential functions of this job, team member must be able to: Work and commute in all weather conditions Able to effectively communicate, listen, detect, converse with, discern, convey, express oneself and exchange information Able to walk, bend, twist, turn, stoop, climb steps, reach with hands, use hands to fingers Work in a fast-paced environment where they will often be multitasking Move about inside the office to access standard office equipment Constantly operate a computer and other office productivity machinery such as keyboard, copy machine and printer Remain in a stationary position 50%+ of the time, alternating between sitting and standing Ability to move and lift up to 30 pounds Drive between company locations and/or vendors or suppliers as needed while on job