Senior Software Engineer, AI/ML and Data Infrastructure, Central Technology

at  Chan Zuckerberg Initiative

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg 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.

COMMITMENT TO DIVERSITY

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. Learn about our diversity, equity, and inclusion efforts.
If you’re interested in a 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.
Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.
LI-Hybrid #

• Participate in the technical design and building of efficient, stable, performant, scalable and secure AI/ML and Data infrastructure engineering solutions.
• Active hands-on coding working on our applications and systems integrations with our large scale AI/ML GPU compute infrastructure and platform, making working across multiple clouds easier and convenient for our Research Engineers, ML Engineers, and Data Scientists.
• Use your solid experience and skills in building containerized applications and infrastructure using Kubernetes in support of our large scale GPU Research cluster as well as working on our various heterogeneous and distributed AI/ML environments.
• Collaborate with other team members in the design and build of our Cloud based AI/ML platform solutions, which includes Databricks Spark, Weaviate Vector Databases, and supporting our hosted Cloud GPU Compute services running containerized PyTorch on large scale Kubernetes.
• 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 such as our AWS based services