Machine Learning Intern

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.

Requirements

• 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

Benefits

• Paid summer internship
• Catered Lunches
• Great atmosphere and colleagues
• Summer Party!