Machine Learning Engineer
San Francisco, CA - USA
Job Summary
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 decisionsbalancing 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:
Were hiring Machine Learning Engineers across multiple levels with leveling determined through the interview process.
In this role youll design build and deploy machine learning systems that power key product decisionssuch as personalization retention monetization and study guidance. Youll 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.
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 $205000 - $316400 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
Required Experience:
IC
About Company
Quizlet makes simple learning tools that let you study anything. Start learning today with flashcards, games and learning tools — all for free.