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Senior AI & Data Platform Engineer

QuizletSan Francisco, CA

$167,366 - $251,050 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$167,366-$251,050/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

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. We're energized by the potential to power more learners through multiple approaches and various tools.

Let's 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 team's 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 team's 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 a Senior AI & Data Platform Engineer, you'll play a critical role in designing and building Quizlet's next-generation analytical data and machine learning infrastructure. You'll partner with teams across Data Science, ML Engineering, and Product to deliver scalable, reliable, and efficient systems that enable the development and deployment of AI-powered features.

You'll measure success through platform reliability, developer experience, and adoption across teams. This is an opportunity to work with cutting-edge technologies and contribute to the foundation that powers Quizlet's AI roadmap.

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.

In this role, you will:

  • 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

What you bring to the table:

  • 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
  • Strong problem-solving and collaboration skills

Bonus points if you have:

  • 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

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 $167,366 - $251,050, 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 people's 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, we're excited about passionate people joining our team-even if you don't 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."

Quizlet's 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-DNP

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.

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FAQs About Senior AI & Data Platform Engineer Jobs at Quizlet

What is the work location for this position at Quizlet?
This job at Quizlet is located in San Francisco, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Quizlet?
Candidates can expect a pay range of $167,366 and $251,050 per year.
What employment applies to this position at Quizlet?
Quizlet lists this role as a Full-time position.
What experience level is required for this role at Quizlet?
Quizlet is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Quizlet?
You can apply for this role at Quizlet either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.