Machine Learning Intern
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Machine Learning Intern (Remote, Part-Time)Company: Flippa Highlights Location: Remote Type: Internship · Part-time · Flexible hours Compensation: Unpaid — eligible for academic creditAbout Flippa HighlightsFlippa Highlights is a fast-moving media and content company. We build and ship tools that turn raw footage into shareable highlights, and our small engineering team moves quickly. This internship is a chance to learn how real ML systems get built, tested, and kept running in production.What you'll doYou'll work alongside our engineering lead to keep our ML pipeline healthy and improving. A big part of the role is triaging and fixing the small-but-important issues that slow the team down — model bugs, data quality problems, and edge cases — so our senior engineers can stay focused on bigger bets.Help diagnose and fix bugs in ML models, data pipelines, and inference codeTrain, fine-tune, and evaluate object detection and tracking models (e.g., YOLO)Annotate and label video frames to build datasets for detection and trackingClean and validate datasets used for training and evaluationRun experiments, log results, and document what works and what doesn'tReproduce reported errors and write up clear, repeatable fixesSupport model evaluation and monitoring in productionWhat we're looking forCurrently pursuing (or recently completed) a degree in CS, data science, math, or a related fieldHands-on experience with YOLO models (or similar object detection frameworks) for detection and trackingExperience annotating and labeling video frames for object trackingFamiliarity with Python and common ML libraries (e.g., PyTorch, TensorFlow, OpenCV, or scikit-learn)A solid grasp of ML fundamentals and a willingness to dig into messy, real-world problemsDetail-oriented, curious, and comfortable asking questionsAble to work independently in a remote, flexible-hours settingWhat you'll gainHands-on experience with a production ML stack, mentorship from working engineers, a real body of work to point to, and academic credit. This is ideal for a student who wants to turn coursework into shipped results.How to applyApply through LinkedIn. Questions? Email greg@flippafiles.com.