Quizlet - Principal Engineer, Personalization & Recommendation

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In-Office Policy

This position requires in-person attendance, reporting to our San Francisco office a minimum of three days per week (Monday, Wednesday, and Thursday), or as required by Quizlet. Do you currently reside within a commutable distance?✱
- Yes, I live within a commutable distance of the San Francisco office location, and I am willing to commute.
- Yes, I live within a commutable distance of the San Francisco office location, but I am NOT willing to commute to the office.
- No, I do not live near the San Francisco office, but I am willing to relocate.
- No, I do not live near, and I am not willing to relocate.

Additional Questions

How did you hear about us?✱
- Quizlet Career Page
- Friend / Family
- LinkedIn
- Glassdoor
- Handshake
- Other Job Board
What are your preferred pronouns?✱
- She/Her/Hers
- He/Him/His
- They/Them/Theirs
- Prefer not to answer
Are you located in the United States?✱
Are you currently legally eligible to work in the United States for Quizlet?✱
Will you now or in the future require visa sponsorship for employment by Quizlet?✱
What city & state do you currently reside in?✱

Additional Information - Principal Engineer, Personalization & Recommendation

Describe the most complex recommendation, personalization, or search ranking system you have architected. What was the core technical challenge, and how did you design the system to scale for millions of users?✱
Describe a time you set the technical direction for a machine learning project and influenced other senior engineers to adopt your proposed architecture or approach. What was the situation and outcome?✱
Which of the following have you used to build end-to-end matching and ranking systems in a production environment? Please check all that apply.✱
- Deep Learning for Ranking Models
- Representation Learning (Embeddings) for User Understanding
- Large Language Models (LLMs) for Personalization
- MLOps stacks for model deployment and inference
Explain how you would approach developing a 'User 360' profile at Quizlet to drive personalization. What specific user signals would you prioritize to improve key business metrics like engagement and conversion?✱

Additional information

U.S. Equal Employment Opportunity information (Completion is voluntary and will not subject you to adverse treatment)

Our company values diversity. To ensure that we comply with reporting requirements and to learn more about how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in a confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process, and has no effect on your opportunity for employment.

Gender

Race

Hispanic or Latino
A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race.
White (Not Hispanic or Latino)
A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.
Black or African American (Not Hispanic or Latino)
A person having origins in any of the black racial groups of Africa.
Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino)
A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands.
Asian (Not Hispanic or Latino)
A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.
American Indian or Alaska Native (Not Hispanic or Latino)
A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment.
Two or More Races (Not Hispanic or Latino)
All persons who identify with more than one of the above five races.

Veteran status