Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA. 

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 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.

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
• Strong working experience with large multi-modal and language models preferred
• Great communication skills, organized, able to multitask and be a team player
• Ability to balance attention to detail with agile execution