Eluvio is looking to increase the intelligence of video/audio content by building production-level machine learning models on large-scale datasets.
Requirements
- Expertise with Python or R
- Experience with machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g. Tensorflow, PyTorch, Scikit-learn)
- Advanced SQL skills, comfortable working with very large data sets
- Previous experience in computer vision and natural language processing
- e.g. object detection, video/image/text classification, image captioning, image-to-image translation) is a plus
Responsibilities
- Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
- Optimize content routing, re-use, transformation and delivery algorithms
- 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
Other
- Master's Degree or PhD in Computer Science & Engineering/Statistics/Math/Physics
- Minimum of 1-3 years of working experience as a data scientist or machine learning engineer
- Great communication skills, organized, able to multitask and be a team player
- Ability to balance attention to detail with agile execution
