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

Posted 7 Days Ago
Berkeley, CA, USA
In-Office
Internship
Blockchain • Machine Learning • Software • Web3
The Role
Interns will work with the AI Machine Learning and Data Science Team to build machine learning models and provide data-driven insights, collaborating with product and engineering teams.
Summary Generated by Built In

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.

Requirements

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

Benefits

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!

Skills Required

  • 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 and frameworks/libraries
  • 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
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The Company
HQ: Berkeley, CA
40 Employees
Year Founded: 2017

What We Do

Eluvio is transforming the management, distribution, and economics of premium video for content owners. The Eluvio Content Fabric is a global platform service that enables just-in-time, low-latency content distribution, monetization, and asset servicing directly to consumers. Content is delivered directly from source as on-demand streams, live streams, and dynamic sequences–without the use of separate transcoding services, content delivery networks (CDNs), or aggregation services–and without creating file copies. An embedded blockchain ledger, contract-backed content, and dynamic composition enable personalization, rights control, monetization, and re-use of media and metadata across properties and devices. Open source APIs are available for publishing content to the Fabric, streaming and downloading from the Fabric, and URL-based consumption of static and dynamic content from the Fabric. The Eluvio Content Fabric is being used by Tier 1 Hollywood studios, broadcasters, and new mobile streaming platforms to create more efficient, cost-effective, and faster digital supply chains. The Fabric was awarded the 2020 Engineering Excellence Award by the Hollywood Professional Association (HPA), the 2020 Best Use of Blockchain in Media Award by Cable and Satellite International (CSI), and other industry accolades. Eluvio is led by Michelle Munson and Serban Simu, founders of Aspera, and a core team of innovators in content centric design, ML, blockchain ledgers, audio/video processing, and programmable media. The company also holds several patents in the areas of content networking, ML, blockchain, and cloud infrastructure.

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