Senior Machine Learning Engineer, Education

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

At CZI, we pair technology with grantmaking to equip educators, families and students with tools that integrate high-quality research, practices and content to unlock the full potential of every student, no matter who they are or where they live. From program conception to software feature design, we center our work on student and educator voices to help educators address the day-to-day challenges in their classrooms.

Since 2015, our grant investments have helped catalyze new tools, practices, and measures designed to foster whole-child outcomes. We leverage technology to provide research-based practices in products that help teachers connect with students and tailor learning experiences to individual student needs.At our core, we are builders and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI’s first eight years of education work.

The Opportunity

Educators are already using AI-based tools in various ways—including generating lesson plans, creating classroom materials such as tests and assignments, and helping differentiate instruction for students. At CZI, we are inspired and excited about the possibilities and promise of AI to accelerate the availability of research-backed practices at scale. We are actively and thoughtfully exploring how to incorporate AI into products in close partnership with researchers, experts, and educators.

As a Senior Machine Learning Engineer on the AI/ML team, you will play a crucial role in translating cutting-edge AI research and exploration into tangible tools and capabilities. You'll work on applying and scaling machine learning models to address specific educational challenges. You’ll have the opportunity to own significant features and contribute to the design of robust, scalable ML systems.

What You'll Do

• Design, develop, and deploy machine learning models and systems to address key educational use cases, taking ownership of specific features or small projects.


• Implement and optimize techniques such as fine-tuning, Retrieval Augmented Generation (RAG), and other deep learning methods for applications in the education domain.


• Collaborate closely with product managers, data scientists, staff engineers, and expert partners to understand requirements, iterate on solutions, and deliver impactful AI-driven features.


• Contribute to the development of multi-modal AI systems and ensure their scalability and reliability.


• Stay current with new developments in AI/ML research and identify opportunities for their practical application within the team's projects.


• Write robust, well-tested, and maintainable code, and participate actively in code and design reviews.

What You'll Bring

• Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and external partners.


• Typically, a minimum of 5 years of relevant industry experience in developing and applying machine learning methods.


• Solid experience building, training, and deploying AI/ML models, with a good understanding of deep learning methods.


• Proficiency in programming languages commonly used in ML (e.g., Python) and familiarity with relevant ML frameworks and libraries.


• Experience in translating ML research or prototypes into functional software and features.


• Ability to execute on a diverse range of work and own small projects or features within a larger system, often with little day-to-day guidance.


• Strong problem-solving skills and the ability to work effectively in a highly interactive, cross-functional, and collaborative environment.

Compensation

The Redwood City, CA base pay range for this role is $214,000-$321,000. 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.

[Include for Remote Exceptions] 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.

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.

• CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.


• Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.


• CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.


• Paid time off to volunteer at an organization of your choice.


• Funding for select family-forming benefits.


• Relocation support for employees who need assistance moving to the Bay Area

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 at .

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