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Job Type
Full Time -
Experience
2-4 year -
Salary
$93,030 - $126,030 / Year -
Location
Berkeley, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming
Job Description
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 within our software engineering team on ML, DL and data science solutions.
Responsibilities
- Work with the Eluvio Machine Learning and Data Science Team to:
- 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 summer internship
Company Info.
EluvioEluvio 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 n
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IndustryInformation Technology
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No. of Employees30
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LocationBerkeley, CA 94710, USA
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Website
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Jobs Posted