Staff AI & Data Platform Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 196320 - 245000
Posted on:
21 days ago
Vacancies:
1 Vacancy
Job Summary
About Quizlet:
At Quizlet our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B learning platform serves tens of millions of students every month including two-thirds of U.S. high schoolers and half of U.S. college students powering over 2 billion learning interactions monthly.
We blend cognitive science with machine learning to personalize and enhance the learning experience for students professionals and lifelong learners alike. Were energized by the potential to power more learners through multiple approaches and various tools.
Lets Build the Future of Learning
Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.
About the Team:
The AI & Data Platform teams mission is to build and maintain a rock-solid scalable and efficient foundation for all data and machine learning operations at Quizlet. This team is the bedrock upon which our AI ambitions are built. As we consolidate our AI efforts to create a unified and powerful product portfolio the platform teams primary focus is on achieving operational excellence. We aggressively buy and leverage best-in-class MLOps and DataOps technologies to accelerate the pace of innovation across Quizlet.
About the Role:
As aStaff AI & Data Platform Engineer you will help lead the design and development of Quizlets analytical data and machine learning infrastructure ensuring our platforms are scalable reliable and designed for long-term success. Youll partner closely with cross-functional teams to define technical direction guide architectural decisions and mentor engineers across Data Science ML Engineering and Product.
This role requires deep technical expertise strategic thinking and the ability to deliver systems that accelerate ML and data innovation at scale. Youll measure success through platform adoption reliability improvements and developer productivity outcomes.
Were happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration we require employees to be in the office a minimum of three days per week: Monday Wednesday and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency team partnership and supports growth as an employee and organization.
In this role you will:
- Accelerate and amplify the work of our Machine Learning Engineers by building ML infrastructure that streamlines the development testing and deployment of models to production
- Collaborate with Product Management Data Analytics and Product Engineering to build systems that support diverse data needs
- Architect build and scale core data and ML services with a focus on resiliency security and long-term maintainability
- Enable large-scale data ingestion and processing from real-time streaming to batch workloads ensuring performance and reliability
- Drive platform adoption across engineering and data teams improving developer experience and operational efficiency
- Mentor engineers and influence best practices for reliability scalability and automation in data workflows
- Lead cross-functional initiatives and set technical direction for data and ML infrastructure at Quizlet
What you bring to the table:
- 8 years of experience building and maintaining large-scale data or ML platforms in production environments
- Proven track record of leading technical architecture and influencing platform strategy
- Deep expertise in distributed systems data pipelines and ML infrastructure (e.g. Airflow dbt GCP Kubernetes feature stores)
- Experience designing reliable observable and cost-efficient infrastructure at scale
- Excellent communication skills with the ability to influence and align diverse stakeholders
Bonus points if you have:
- Experience owning platform architecture and long-term roadmap definition
- Expertise in cross-cloud data infrastructure or hybrid orchestration
- Contributions to open-source data/ML tooling or internal frameworks
- Demonstrated impact on developer experience or data reliability culture
Compensation Benefits & Perks:
- Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive including a starting base salary of $196320 - $245000 depending on location and experience as well as company stock options
- Collaborate with your manager and team to create a healthy work-life balance
- 20 vacation days that we expect you to take!
- Competitive health dental and vision insurance (100% employee and 75% dependent PPO Dental VSP Choice)
- Employer-sponsored 401k plan with company match
- Access to LinkedIn Learning and other resources to support professional growth
- Paid Family Leave FSA HSA Commuter benefits and Wellness benefits
- 40 hours of annual paid time off to participate in volunteer programs of choice
Why Join Quizlet
Massive reach: 60M users 1B interactions per week
Cutting-edge tech: Generative AI adaptive learning cognitive science
Strong momentum: Top-tier investors sustainable business real traction
Mission-first: Work that makes a difference in peoples lives
Inclusive culture: Committed to equity diversity and belonging
We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process where both Quizlet and candidates have an opportunity to view what it would be like to work together in exploring a mutually beneficial partnership.
We provide a transparent setting that gives a comprehensive view of who we are!
In Closing:
At Quizlet were excited about passionate people joining our teameven if you dont check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative learning through challenges and striving for high-quality work while staying curious and open to new ideas. We believe in honest respectful communication thoughtful collaboration and creating a supportive space where everyone can grow and succeed together.
Quizlets success as an online learning community depends on a strong commitment to diversity equity and inclusion.
As an equal opportunity employer and a tech company committed to societal change we welcome applicants from all backgrounds. Women people of color members of the LGBTQ community individuals with disabilities and veterans are strongly encouraged to apply. Come join us!
To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
#LI-FT
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
Quizlet makes simple learning tools that let you study anything. Start learning today with flashcards, games and learning tools — all for free.
