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 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
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
- Great communication skills, organized, able to multitask and be a team player
- Ability to balance attention to detail with agile execution
Benefits
Paid internship
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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.
