Senior AI Infrastructure Engineer

4 weeks ago

London, Greater London, United Kingdom Chan Zuckerberg Initiative Full time
About the Role

We are seeking a highly skilled Senior AI Infrastructure Engineer to join our team at the Chan Zuckerberg Initiative. As a key member of our AI/ML and Data Infrastructure organization, you will play a critical role in building and scaling our shared tools and platforms to support our initiatives.

As a Senior AI Infrastructure Engineer, you will be responsible for designing, building, and deploying efficient, stable, and secure AI/ML and Data infrastructure engineering solutions. You will work closely with our research scientists, data scientists, and engineers to develop and implement complex systems integrating with our large-scale AI/ML GPU compute infrastructure and platform.

Key Responsibilities:

  • Design and implement efficient, stable, and secure AI/ML and Data infrastructure engineering solutions.
  • Collaborate with our research scientists, data scientists, and engineers to develop and implement complex systems integrating with our large-scale AI/ML GPU compute infrastructure and platform.
  • Use your solid experience and skills in building containerized applications and infrastructure using Kubernetes in support of our large-scale GPU research cluster.
  • Collaborate with our partners on data management solutions in our heterogeneous collection of complex datasets.
  • Help build tooling that makes optimal use of our shared infrastructure in empowering our AI/ML efforts with world-class GPU compute cluster and other compute environments.

Requirements:

  • BS or MS degree in Computer Science or a related technical discipline or equivalent experience.
  • 5+ years of relevant coding experience.
  • 3+ years of systems architecture and design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering.
  • Scaling containerized applications on Kubernetes or Mesos, including expertise with creating custom containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos.
  • Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments.
  • Proven coding ability with a systems language such as Rust, C/C++, C#, Go, Java, or Scala.
  • Shown ability with a scripting language such as Python, PHP, or Ruby.
  • AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges, including large-scale Kafka and Spark deployments.
  • MLOps experience working with medium to large-scale GPU clusters in Kubernetes (Kubeflow), HPC environments, or large-scale Cloud-based ML deployments.
  • Working knowledge of Nvidia CUDA and AI/ML custom libraries.
  • Knowledge of Linux systems optimization and administration.
  • Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.

About Us

The Chan Zuckerberg Initiative is a philanthropic organization dedicated to advancing human potential and promoting equal opportunity. We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued.

We offer a wide range of benefits to support the people who make all we do possible, including a generous employer match on employee 401(k) contributions, annual benefit for employees, CZI Life of Service Gifts, paid time off to volunteer, funding for select family-forming benefits, and relocation support for employees who need assistance moving to the Bay Area.

Join us in our mission to build a more inclusive, just, and healthy future for everyone.

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