Staff Software Engineer, AI / ML Infrastructure (Chicago)

Staff Software Engineer, AI / ML Infrastructure

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.

The Team

Our Central Tech team provides technology and security support for CZI, the Biohub Network, and our grantees. We believe that Engineering and Security are most effective when in sync and learning from each other on a daily basis. Our AI Infrastructure Engineering team enables our AI Research teams to achieve their goals faster and more securely. We leverage technology to automate manual processes, constantly innovate to optimize operations, provide first-class support, and build solutions to enable the scale and execution of our business partners' strategies and initiatives.

The Opportunity

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 and CZ Biohub, 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 central technology's 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 AI / ML infrastructure.

What You'll Do

• Lead the design and delivery of secure, scalable, and high-performance AI / ML compute infrastructure.
• Architect and implement containerized AI / ML platforms using Kubernetes for heterogeneous, distributed environments.
• Integrate on-prem (High Performance Compute) and cloud-based AI platforms with GPU clusters to support pre-training, training, fine-tuning, and inference workflows.
• Define and execute systems integration strategies to maximize performance, scalability, and security for AI workloads.
• Enable research teams to effectively use AI platforms through best practices in lifecycle management and deployment.
• Solve complex challenges in scaling AI workflows and optimizing model training and inference pipelines.

What You'll Bring

Compensation

The Redwood City, CA and New York City, NY base pay range for this role is $270,000.00 - $371,800.00

The Chicago, IL base pay range for this role $230,000.00 - $315,700.00

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.

Work Mode

As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You

We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

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.