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.
Job duties:
- Research on AI/ML models for Eluvio Content Fabric, focusing on video content understanding.
- Developing AI/ML models for extracting information from video/audio content.
- Leads development of advanced models and oversees integration into production environments (end-to-end deployment).
- Optimizes models for performance and ensures seamless integration with blockchain-verified metadata systems.
- Provide mentorship and technical guidance to interns and junior engineers.
- Takes a leadership role in team discussions, setting technical direction, and ensuring alignment with business goals.
- Regularly engages with clients, attends business meetings, and drives customer-focused strategy.
- Active participation in business strategy discussions and decision-making processes.
- May telecommute.
- Rate of pay: $128,398 to $132,000 per year
Requirements
- Master’s degree in Data Science, Statistics, or related field
- 2 years of experience in machine learning engineering or data science, with a specialization in video and media data analysis.
- Experience in deployment of machine learning models in production environments, particularly in media-focused applications.
- Container management tools, including Podman, for efficient deployment and orchestration of applications in containerized environments.
- API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems.
- Python, R, JavaScript, and Bash.
- Experience with system programming languages including C++, Go, and Rust.
- Machine learning and deep learning algorithms (e.g., CNNs, Transformer models, GANs, clustering, sequence models) and frameworks/libraries (e.g., PyTorch, Scikit-learn).
- CockroachDB and Firebase DB, with experience in their application for managing and processing large-scale media datasets.
- Collaborating effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment.
- Distributed systems, including their architecture, operational challenges, and performance optimization strategies.
- Designing, developing, and deploying production-grade software and machine learning models, specifically within the media domain.
Benefits
Eluvio employees have salaries comensurate with experience as well as medical, dental, and vision insurance.
May telecommute – Machine Learning – Full time