{"schemaVersion":"jobsearcher.job.v1","id":"1445456aaed50dac0d074563","url":"https://jobsearcher.com/jobs/1445456aaed50dac0d074563","canonicalUrl":"https://jobsearcher.com/jobs/1445456aaed50dac0d074563","title":"Full Stack Developer (Machine Learning & Image Processing) Intern – Unpaid","description":"About Us:Findme is an innovative startup focused on creating cutting-edge applications. We are currently in the designing phase and gearing up to launch our product soon. Our team is passionate about technology and driven to make a difference in the IT field. Located in the United States, we offer remote work flexibility to our team members.Desired Qualifications:We are seeking a talented full-stack developer with the following skills and qualifications:3+ years of experience in Python, with a focus on image processing and machine learning.Expertise in image recognition and computer vision libraries such as OpenCV, TensorFlow, PyTorch, or Keras.Experience working with machine learning models for object detection and localization (e.g., YOLO, Faster R-CNN, or similar frameworks).Familiarity with product detection in real-world environments, including handling occlusions, lighting variations, and noise.Knowledge of augmented reality (AR) frameworks and their integration with machine learning models is a plus.Strong proficiency in deploying models in production environments (experience with TensorFlow Lite, ONNX, or similar for mobile applications is highly desirable).Experience with databases (SQL and NoSQL) for storing product and store data.Familiarity with cloud platforms (AWS, Google Cloud, Azure) for training and deploying models at scale.Excellent problem-solving skills, with a startup mindset and the ability to work independently in a fast-paced environment.Strong communication skills, especially when collaborating with cross-functional teams, including non-technical stakeholders.Responsibilities:As a full-stack developer at Findme, you will:Develop and fine-tune machine learning models for product recognition and in-store location identification using images.Build and deploy image processing solutions that recognize products in real time through smartphone cameras.Work closely with the AR development team to integrate AR-based product navigation.Handle the pre-processing of image data, including augmentation, filtering, and feature extraction, to improve model accuracy and efficiency.Optimize models for performance on mobile devices, ensuring fast and seamless product detection for users.Set up systems to manage and update a database of products and store layouts, ensuring accurate product-location mapping.Collaborate with data scientists and software engineers to ensure scalable deployment of the image recognition system.Continuously test and refine the model to improve accuracy, speed, and user experience as more stores and products are added to the platform.Help establish best practices for image processing and model deployment across the organization.Skillset required:Python (3+ years) - Image processing and machine learning.Image recognition and computer vision (OpenCV, TensorFlow, PyTorch, Keras).Machine learning models (YOLO, Faster R-CNN).Product detection (handling occlusions, lighting variations, noise).Augmented Reality (AR) frameworks (preferred).Model deployment (TensorFlow Lite, ONNX).SQL and NoSQL databases.Cloud platforms (AWS, Google Cloud, Azure).Mobile optimization.Image data preprocessing (augmentation, filtering, feature extraction).Strong communication skills.Problem-solving and startup mindset.Benefits:Gain hands-on experience in product management within a startup environment.Opportunity to earn academic credits.Chance to convert this internship into a full-time role based on performance.Work with a dynamic and innovative team in a fast-growing startup.How to Apply:To apply, please send your resume, portfolio, and a brief cover letter explaining why you’re excited about this opportunity to hr@fyndme.net. We look forward to seeing your work and how you can contribute to the future of retail technology.Note: This is an unpaid internship with the possibility of academic credits and a potential full-time position based on performance.","company":"Find Me","rawCompany":"find me","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T11:27:30.240Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Developer (Machine Learning & Image Processing) Intern – Unpaid","description":"About Us:Findme is an innovative startup focused on creating cutting-edge applications. We are currently in the designing phase and gearing up to launch our product soon. Our team is passionate about technology and driven to make a difference in the IT field. Located in the United States, we offer remote work flexibility to our team members.Desired Qualifications:We are seeking a talented full-stack developer with the following skills and qualifications:3+ years of experience in Python, with a focus on image processing and machine learning.Expertise in image recognition and computer vision libraries such as OpenCV, TensorFlow, PyTorch, or Keras.Experience working with machine learning models for object detection and localization (e.g., YOLO, Faster R-CNN, or similar frameworks).Familiarity with product detection in real-world environments, including handling occlusions, lighting variations, and noise.Knowledge of augmented reality (AR) frameworks and their integration with machine learning models is a plus.Strong proficiency in deploying models in production environments (experience with TensorFlow Lite, ONNX, or similar for mobile applications is highly desirable).Experience with databases (SQL and NoSQL) for storing product and store data.Familiarity with cloud platforms (AWS, Google Cloud, Azure) for training and deploying models at scale.Excellent problem-solving skills, with a startup mindset and the ability to work independently in a fast-paced environment.Strong communication skills, especially when collaborating with cross-functional teams, including non-technical stakeholders.Responsibilities:As a full-stack developer at Findme, you will:Develop and fine-tune machine learning models for product recognition and in-store location identification using images.Build and deploy image processing solutions that recognize products in real time through smartphone cameras.Work closely with the AR development team to integrate AR-based product navigation.Handle the pre-processing of image data, including augmentation, filtering, and feature extraction, to improve model accuracy and efficiency.Optimize models for performance on mobile devices, ensuring fast and seamless product detection for users.Set up systems to manage and update a database of products and store layouts, ensuring accurate product-location mapping.Collaborate with data scientists and software engineers to ensure scalable deployment of the image recognition system.Continuously test and refine the model to improve accuracy, speed, and user experience as more stores and products are added to the platform.Help establish best practices for image processing and model deployment across the organization.Skillset required:Python (3+ years) - Image processing and machine learning.Image recognition and computer vision (OpenCV, TensorFlow, PyTorch, Keras).Machine learning models (YOLO, Faster R-CNN).Product detection (handling occlusions, lighting variations, noise).Augmented Reality (AR) frameworks (preferred).Model deployment (TensorFlow Lite, ONNX).SQL and NoSQL databases.Cloud platforms (AWS, Google Cloud, Azure).Mobile optimization.Image data preprocessing (augmentation, filtering, feature extraction).Strong communication skills.Problem-solving and startup mindset.Benefits:Gain hands-on experience in product management within a startup environment.Opportunity to earn academic credits.Chance to convert this internship into a full-time role based on performance.Work with a dynamic and innovative team in a fast-growing startup.How to Apply:To apply, please send your resume, portfolio, and a brief cover letter explaining why you’re excited about this opportunity to hr@fyndme.net. We look forward to seeing your work and how you can contribute to the future of retail technology.Note: This is an unpaid internship with the possibility of academic credits and a potential full-time position based on performance.","datePosted":"2026-08-14T11:27:30.240Z","dateModified":"2026-08-14T11:27:30.240Z","hiringOrganization":{"@type":"Organization","name":"Find Me","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1445456aaed50dac0d074563"},"url":"https://jobsearcher.com/jobs/1445456aaed50dac0d074563"}}