Eluvio is looking to solve the problem of serving the world's Internet video through its Content Fabric, a decentralized platform for video and commerce.
Requirements
- 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
- Strong working experience with large multi-modal and language models preferred
Responsibilities
- Work with the Eluvio AI 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
- Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning
Other
- MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
- Great communication skills, organized, able to multitask and be a team player
- Ability to balance attention to detail with agile execution
- Pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates)
