Skip to content
← Back to job listings

Senior Machine Learning Engineer

CesiumAstro · Austin, United States

External listingfull-time4 days ago

About The Role

Join CesiumAstro, a leading company in advanced distributed processing platforms. As a Senior Machine Learning Engineer II, you will design, develop, and maintain deep learning pipelines for real-time data processing, collaborate with various teams, and contribute to research and development initiatives. You will also enjoy a comprehensive benefits package, including health, dental, vision, and company stock options.

  • Contribuer au développement et au déploiement de solutions d'apprentissage automatique pour des plateformes de traitement distribué avancées.
  • Collaborer avec les équipes produit, backend et ingénierie des systèmes pour concevoir, intégrer et maintenir des applications ML robustes.
  • Concevoir, développer et maintenir des pipelines d'apprentissage profond pour le traitement de données en temps réel.
  • If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team
  • Proficiency in Python with demonstrated experience implementing ML algorithms in production environments
  • 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations)
  • Ability to work effectively in a collaborative, Agile engineering team
  • Hands-on experience deploying and managing ML workflows in Kubernetes environments
  • Bachelor’s or higher degree in Computer Science, Engineering, or related technical field
  • Strong communication skills with the ability to clearly articulate complex technical ideas
  • Experience designing and maintaining APIs for ML services
  • Knowledge of microservice architectures and distributed data systems
  • Familiarity with aerospace or defense applications of ML systems
  • Track record of contributing to early-stage or rapidly scaling teams

This is an external listing. JobSpring does not represent or verify the employer. Report this listing