Quizlet - Sr. Staff Engineer, AI and Data Platform

Submit your application

LinkedIn profile
Your full LinkedIn profile will be
shared. Learn more
Resume/CV ✱
ATTACH RESUME/CV
Couldn't auto-read resume.
Analyzing resume...
Success!
File exceeds the maximum upload size of 100MB. Please try a smaller size.
Full name✱
Email✱
Phone ✱
Current location ✱
No location found. Try entering a different location
Loading
Current company

Links

LinkedIn URL✱
Twitter URL
GitHub URL
Portfolio URL
Other website

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 - Sr. Staff Engineer, AI and Data Platform

Can you describe a time you were the technical lead for a project that involved building or significantly improving a machine learning platform? What was the scale of the platform, and what were the key technologies you used?✱
The AI & Data Platform team at Quizlet has a "buy vs. build" philosophy for MLOps and DataOps technologies. Can you provide an example from your past experience where you had to make a critical "buy vs. build" decision for a core component of a data or ML platform? What was your thought process, and what was the outcome?✱
This role requires deep technical expertise in modern data and ML infrastructure.
- Data processing frameworks (e.g., Spark, Flink)
- MLOps tooling (e.g., Kubeflow, MLflow, Tecton)
- Container orchestration (Kubernetes)
- Cloud services (GCP/AWS)
Could you rate your experience on a scale of 1 to 5 (1 being no experience, 5 being an expert) with the following technologies mentioned in the previous box, and briefly describe a project where you used them?✱
How have you balanced the need for platform stability and uptime with the demand for rapid feature development and innovation from product and data science teams?✱

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