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

Eluvio, Inc.; Berkeley (CA); On-site; USD 34,440 - 48,216; Full time

Benefits offered by this job

Catered Lunches

Great atmosphere, nice colleagues

Summer Party

Job summary

Eluvio, Inc. is offering a paid summer internship at their Berkeley HQ for upper undergrads and grad students. The role involves working with the Machine Learning and Data Science Team to develop impactful ML models and solutions. Ideal candidates are pursuing a Master's or PhD in relevant fields and possess strong skills in machine learning algorithms and programming languages like Python or R. The internship includes catered lunches and a vibrant work atmosphere.

Qualifications

• MSc or PhD student in Computer Science & Engineering, Statistics, Math, Physics, or Advanced Undergraduate.
• Deep classroom experience in data science or machine learning.
• Comfortable with Python or R.

Responsibilities

• Work with the Eluvio AI Machine Learning and Data Science Team.
• Build production level machine learning models.
• Provide data-driven recommendations on content understanding.

Skills

Machine Learning

Data Science

Python

R

Communication Skills

Education

MSc or PhD in Computer Science or related fields

Tools

Tensorflow

PyTorch

Sci kit-learn

Job description

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

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!