Machine Learning Internship

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Description

About Eluvio:

Eluvio is a company comprised of a highly focused and ambitious team of engineers (systems, networking, application, and video software), AI scientists, ML engineers, and security experts. Their collective goal is to realize the vision of the Content Fabric – a decentralized platform for video and commerce aiming to serve the world’s internet video. This platform offers an innovative, distributed, and decentralized video processing framework that delivers just-in-time and personalized experiences through real-time content routing and just-in-time code execution. The company is headquartered in Berkeley, CA, and utilizes a wide range of machine learning and deep learning techniques within its Content Fabric.

Description: Machine Learning Internship

This internship provides an opportunity for graduate students (or advanced undergraduates) with excellent academic records in computer science, data science, or related fields to work alongside Eluvio’s software engineering team. The intern will contribute to ML, DL, and data science solutions within the company’s Content Fabric.

Responsibilities:

• Work with Eluvio’s AI Machine Learning and Data Science Team.
• Build production-level machine learning models using large-scale datasets to enhance the intelligence of video/audio content.
• Provide data-driven recommendations and actionable insights to address challenges in content understanding, augmentation, and location.
• Develop multi-functional learning pipelines.
• Collaborate with product and engineering teams to implement models at scale.
• Assist in training and developing multimodal learning models using advanced learning techniques such as RAG (Retrieval Augmented Generation), self-supervised learning, semi-supervised learning, and transductive learning.

Requirements & Desired Currently pursuings:

• MSc or PhD student (or advanced undergraduate) in Computer Science & Engineering/Statistics/Math/Physics.
• Strong academic background in data science or machine learning; prior internship experience is a plus.
• Proficiency in Python or R.
• Knowledge of machine/deep learning algorithms (e.g., gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with computer vision and natural language processing.
Strong working experience with large multi-modal and language models is preferred.
• Excellent communication skills; organized, able to multitask, and a team player.
• Ability to balance attention to detail with agile execution.

Benefits: Paid summer internship