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Senior Machine Learning Engineer / Data Scientist

Senior Machine Learning Engineer / Data Scientist

EluvioBerkeley, CA, US
30+ days ago
Job type
  • Full-time
  • Quick Apply
Job description

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

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