About Quizlet:
At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.
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:
We are looking for Machine Learning Engineers ranging from the Senior to Staff levels (note: leveling decisions made through the interview process).
Our Machine Learning team builds the predictive and decisioning systems that power personalization, monetization, and learner engagement at Quizlet.
We focus on developing models and systems that drive real-time product decisions—balancing business outcomes with long-term learner success. This work is central to how we improve the learning experience for millions of users.
About the Role:
We’re hiring Machine Learning Engineers across multiple levels, with leveling determined through the interview process.
In this role, you’ll design, build, and deploy machine learning systems that power key product decisions—such as personalization, retention, monetization, and study guidance. You’ll work across the full lifecycle, from modeling and experimentation to production integration and long-term system reliability.
Success is measured by your ability to deliver scalable ML systems that drive measurable product impact.
We’re happy to share that this is an onsite position in either our Denver, San Francisco, Seattle, or NYC. To help foster team collaboration, we require that employees 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:
Develop predictive and decisioning models (e.g., conversion, churn, LTV, personalization)
Design and implement systems for real-time and batch inference
Build end-to-end ML pipelines for training, evaluation, deployment, and monitoring
Partner with Product, Engineering, and Data teams to define problems and deliver solutions
Integrate ML systems into production environments with a focus on reliability and scalability
Establish evaluation frameworks connecting offline metrics to online impact (A/B testing)
Improve system performance across latency, throughput, and observability
What you bring to the table:
Experience building and deploying ML systems in production
Strong background in machine learning methods (e.g., predictive modeling, recommendation systems, or decisioning systems)
Experience with data pipelines, model serving, and scalable systems
Proficiency in Python and common ML frameworks
Ability to operate across ambiguity and drive end-to-end solutions
Strong collaboration and communication skills
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 $205,000 - $316,400, 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