Quizlet is looking to design and build its next-generation analytical data and machine learning infrastructure to power AI-driven learning tools and enhance the learning experience for millions of users.
Requirements
- 5–8+ years of experience building and maintaining large-scale data or ML platforms in production environments
- Strong experience with distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores)
- Experience contributing to best practices for reliability and efficiency in data workflows
- Experience with cross-cloud data infrastructure or hybrid orchestration
- Contributions to open-source data/ML tooling or frameworks
- Demonstrated impact improving developer experience or data reliability
Responsibilities
- Build and maintain ML and data infrastructure to support large-scale model training, deployment, and monitoring
- Collaborate with Product Management, Analytics, and Engineering teams to design data systems that meet diverse needs
- Develop and optimize tools that improve developer efficiency and data platform usability
- Implement scalable and resilient data ingestion and processing systems (real-time and batch)
- Contribute to platform reliability, observability, and automation improvements
- Participate in design and code reviews, sharing best practices and mentoring peers
Other
- Onsite position in San Francisco office
- Employees are required 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.
- Strong problem-solving and collaboration skills
- 20 vacation days that we expect you to take!
- 40 hours of annual paid time off to participate in volunteer programs of choice
