Principal/Senior AI and Machine Learning Scientist at Eluvio AI Labs

Eluvio is a highly focused and one-of-a-kind 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, just-in-time code execution, and inline frame accurate multi-modal content AI. We are headquartered in Berkeley, CA. 

This position in our AI Labs team offers an opportunity to lead the building of a novel ML/AI models; multi-modal, multi-model search infrastructure; and combined meta AI pipelines for big impact. Innovate new and breakthrough ML, DL and data science solutions in areas such as video and multi-modal identification and analysis, generative content, content processing, scalable routing, search, pricing optimization, advertising, audience analysis, and content recommendation.

Job duties:

• Deliver a novel infrastructure for ML inference, learning, and search on the Content Fabric.
• Create and deliver advanced production-level models using the state-of-the-art in AI/ML deep learning and related research in content AI and oversee integration into production environments.
• Optimize models for performance and ensure seamless integration within the Content Fabric runtime and blockchain-verified metadata systems.
• Develop new IP and provide thought leadership at academic and industry R&D including competitions, publications, and open source.
• Provide mentorship and technical guidance to interns and junior engineers.
• Take a leadership role in team discussions, setting technical direction, and ensuring alignment with business goals.
• Regularly engage with clients and work closely with the executive and product leadership to maximize product leadership, novelty and customer effectiveness.

• PhD in Computer Science & Engineering/Statistics/Math/Physics (Strong MSc will be considered)
• Minimum of 7 years of working experience as a machine learning engineer.
• Demonstrated ability in PhD/previous positions to build, verify, and deploy novel task-specific models innovating upon the absolute state-of-the-art across the literature and open source
• Deep knowledge of machine/deep learning algorithms (e.g. Transformer/VLM/LLM, CNNs, residual networks, GAN, clustering, sequence models, …) and frameworks/libraries (e.g. Tensorflow, PyTorch, Scikit-learn, Jax).
• Excellent experience in deployment of machine learning models in production environments, particularly in video/media-focused applications.
• Strong technical expertise in system design and software development. Proficiency in both high-level language (e.g. Python, JavaScript, Bash) and system programming languages (e.g. C/C++/Go/Rust).
• Demonstrated knowledge in API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems.
• Deep knowledge and experience in statististical data analysis and strong skils in managing and processing large-scale data sets, particulary in media. Knowledge of CockroachDB, Firebase DB, and other stores for large-scale data sets.
• Excellent communication skills and ability to collaborate effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment.

Medical, dental, and vision insurance.

Employee stock equity program

Opportunity to work in the leading company in Decentralized Content AI, Distribution, and Monetization with an amazing team of experts and to impact the world with your innovation