Chan Zuckerberg Initiative

We’re on an ambitious mission to solve some of society’s toughest challenges — from eradicating disease to improving education and addressing the needs of our local communities. Join us to build a better future for everyone!

Learn more about our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

We’re on an ambitious mission to solve some of society’s toughest challenges — from eradicating disease to improving education and addressing the needs of our local communities. Join us to build a better future for everyone!

Learn more about our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

The Team

By pairing engineers with leaders in our science and education teams, we can bring AI/ML technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. Our technology team is already helping schools bring personalized learning tools to teachers and schools across the country. We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.

The AI/ML and Data Engineering Infrastructure organization works on building shared tools and platforms to be used across all of the Chan Zuckerberg Initiative, partnering and supporting the work of a wide range of Research Scientists, Data Scientists, AI Research Scientists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale. A person in this role will build these technology solutions and help to cultivate a culture of shared best practices and knowledge around core engineering.

What You'll Do

• Provide technical leadership in designing and building efficient, stable, performant, scalable and secure AI/ML and Data engineering solutions.
• Actively take a hands-on approach to the architecture and build of our AI/ML compute infrastructure tooling - both as a Principal Engineer and System Architect. This includes design and coding across the platform for everything from streaming data systems based on Apache Kafka, our complex multi-modal Data Hub metadata management system we are building, and the containerized infrastructure we are building using Kubernetes in support of our various heterogeneous and distributed AI/ML environments. 
• Provide insight and guidance for overall systems integration and architecture approaches for our containerized AI/ML platform components. 
• Drive the technical design for how we extend our Cloud based AI/ML platform to successfully encompass our current Cloud based Databricks Ray on Spark, Weaviate Vector Databases, and Containerized Ray on Kubernetes with a workflow that extends to running pre-training, AI training, fine tuning, and inference in the hosted Cloud GPU Compute services.
• Provide technical leadership for the AI/ML and Data Engineering team in delivering and integrating our AI.ML platform with the various research teams across CZI, CZIF, and our CZ Biohub Network partners, as well as evangelize and educate our partners on best AI lifecycle practices for making use of our advanced AI platform tooling and Dataset curation systems as we collaborate with them.
• Guide cross-functional integration and approach to making optimal use of our shared infrastructure in empowering our AI/ML efforts with world class GPU Compute Cluster and other compute environments such as our AWS based services.
• Dive into deep stack complex coding challenges that you and the team will undertake in various areas such as scaling data engineering applications in support of LLM pre-training and in optimizing LLM code and workflows in support of AI tuning, training, and inference. 
• Provide expertise across multiple engineering disciplines - Data Infrastructure, AI Compute Platform Infrastructure, Security Engineering, Data Governance, System/Data Compliance programs (SOC2 for example), and Scalable Containerization Platforms. 

What You'll Bring

• BS or MS degree in Computer Science or a related technical discipline or equivalent experience
• 8+ years of relevant coding experience
• 8+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering
• Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments
• Shown ability with a scripting language such as Python, PHP, or Ruby
• Proven coding ability with a systems language such as C, C++, C#, Go, Rust, Java, or Scala
• AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam 
• Scaling containerized applications on Kubernetes, including expertise with creating custom containers using secure AMIs and continuous deployment systems that integrate with Kubernetes.
• Working knowledge of Nvidia CUDA and AI/ML custom libraries. 
• Knowledge of Linux systems optimization and administration
• Deep understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.
• HPC and Slurm experience a strong nice to have

The Redwood City, CA base pay range for this role is $323,000 - $485,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.

#LI-Remote #LI-Hybrid #LI-Onsite

Onsite work mode is site-based in our office at our HQ in Redwood City, CA.

Flex work mode is open to a hybrid approach, but not open to be fully remote.

Remote work mode is eligible for all three modes (Remote, Flex, or Onsite) available to you at CZI.

About Us

The Chan Zuckerberg Initiative was founded in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education, to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

CZI is committed to creating a more inclusive and diverse workplace. We welcome interest from individuals of all backgrounds and levels of experience who share our mission. If you’re interested in this role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role!