Machine Learning Engineer, Education
Machine Learning Engineer, Education
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$ 169000 - 264000
1 Vacancy
Job Description
The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of societys 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 thehighlights and significant milestones of CZIs first eight years of education work.
The Opportunity
Educators are already using AI-based tools in various waysincluding 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 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. Youll work on applying and scaling machine learning models to address specific educational challenges. Youll have the opportunity to own significant features and contribute to the design of robust scalable ML systems.
What Youll Do
- Assist in design develop and deploy machine learning models and systems to address key educational use cases taking ownership of specific features or small projects.
- Contribute to implementation and optimize techniques such as fine-tuning Retrieval Augmented Generation (RAG) and other deep learning methods for applications in the education domain.
- Partner closely with tech lead product managers data scientists staff engineers and expert partners to understand requirements iterate on solutions and deliver impactful AI-driven features.
- Stay current with new developments in AI/ML research and identify opportunities for their practical application within the teams projects.
- Write robust well-tested and maintainable code and participate actively in code and design reviews.
What Youll 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 2 years of relevant industry experience in developing and applying machine learning methods.
- Experience building training and deploying AI/ML models with a good understanding of deep learning methods.
- Expert 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.
Compensation
The Redwood City CA base pay range for this role is $169000 - $264000. 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 were 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 teams manager. The exact schedule will be at the hiring managers discretion and communicated during the interview process.
Benefits for the Whole You
Were 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
- And more!
If youre interested in a role but your previous experience doesnt 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 ourwork modesbenefits andinterview processat
Employment Type
Full Time
