Staff AI & Data Platform Engineer
About The Position
As a Staff AI & Data Platform Engineer, you will help lead the design and development of Quizlet's analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and designed for long-term success. You'll 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. You'll measure success through platform adoption, reliability improvements, and developer productivity outcomes. We're 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Educational Services
Education Level
No Education Listed
Number of Employees
251-500 employees
