Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions. Responsibilities Work with the Eluvio Machine Learning and Data Science Team Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location Develop multi-functional learning pipelines Collaborate with product and engineering teams to implement models at scale Requirements Desired Qualifications MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate Deep classroom experience in data science or machine learning or prior internship Comfortable with Python or R Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) Knowledge of computer vision and natural language processing Great communication skills, organized, able to multitask and be a team player Ability to balance attention to detail with agile execution Benefits Paid internship