Eluvio→
Last Minute AI-Machine Learning Summer… at Eluvio · Berkeley
InternshipOn-siteBerkeley, CA
Skills
machine learningdeep learningdata sciencepythonrgradient boostingconvolutional neural networks (cnns)sequence modelstensorflowpytorchscikit-learncomputer visionnatural language processingmultimodal modelslanguage models
Job Description
Summary: Eluvio is a rapidly growing company focused on developing a decentralized platform for video and commerce. They are seeking an intern to work with their AI Machine Learning and Data Science Team, building production-level machine learning models and collaborating with product and engineering teams.
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
Required 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
Preferred Qualifications:
- Strong working experience with large multi-modal and language models
Required Skills: Machine learning, Deep learning, Data science, Python, R, Gradient boosting, Convolutional neural networks (CNNs), Sequence models, TensorFlow, PyTorch, Scikit-learn, Computer vision, Natural language processing, Multimodal models, Language models
Benefits: Paid summer internship
Benefits
Paid summer internship