Senior/Staff Applied AI Engineer at Quizlet

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, TechnologyIndustries

Requirements

Experience with ML systems in personalization, ranking, search, recommendations, or GenAI/LLM systems
Ability to build end-to-end ML systems including candidate sourcing, embedding platforms, ANN retrieval, and multi-stage ranking
Expertise in implementing LLM-based features such as RAG pipelines, instruction-/preference-tuning (e.g., SFT/DPO), prompt optimization, and latency/cost-aware inference
Proficiency in developing robust embeddings from behavior signals, explicit inputs, and conversational context
Skills in evaluation infrastructure for ranking and generative systems (e.g., NDCG, AUC, BLEU, BERTScore, quality/safety scorecards) and A/B experiments
Capability to ship reliable systems at scale, including training-serving consistency, drift detection, canarying/rollback, on-call rotation, and CI/CD
Ability to write high-quality code, follow best practices for experimentation rigor and reproducibility
Experience collaborating with Product, Design, Legal, Data Science, and senior ML/SWE teammates on objectives, tradeoffs, and responsible AI
Willingness to stay current with AI advancements
Availability for onsite work in San Francisco office (minimum 3 days/week: Monday, Wednesday, Thursday, plus as needed)

Responsibilities

Contribute to the technical roadmap for applied AI across personalization, ranking, search, recommendations, and GenAI/LLM systems; connect modeling to business metrics (engaged learners, conversion, retention, revenue)
Build components of end-to-end ML systems: candidate sourcing, embedding platforms & ANN retrieval, multi-stage ranking (early/late), and value modeling with guardrails for fairness and integrity
Implement LLM-based features: build RAG pipelines, apply instruction-/preference-tuning techniques (e.g., SFT/DPO), optimize prompts, improve latency/cost-aware inference; contribute to offline evals, human-in-the-loop, and online success metrics
Help develop "Learner 360" representations using behavior signals, explicit inputs, and conversational context for reusable embeddings across surfaces
Support evaluation infrastructure: contribute to eval harness for ranking and generative systems (offline metrics like NDCG/AUC/BLEU/BERTScore; quality/safety scorecards), and integrate with online A/B experiments
Ship reliable systems at scale: ensure training-serving consistency, implement drift detection, follow canarying/rollback protocols, participate in on-call rotation for model services, maintain strong CI/CD for features & models
Collaborate with and learn from senior ML/SWE teammates; write high-quality code and follow best practices for experimentation rigor and reproducibility
Work closely with Product, Design, Legal, and Data Science on objectives, tradeoffs, and responsible AI practices

Skills

Applied AI

Machine Learning

Retrieval Systems

Ranking Systems

Generative AI

LLM

RAG

Two-Tower Models

Multi-Task Rankers

Personalization

Cognitive Science

Evaluation

Deployment

Quizlet

Develops educational tools for students and teachers

About Quizlet

Quizlet develops educational tools designed to inspire and empower students and teachers. It serves over 60 million active users each month and is recognized as one of the top education apps available on iOS and Android. Quizlet's products include various learning tools that help users study and retain information effectively. The platform offers both free and premium subscription services, allowing users to access additional features and resources. Unlike many competitors, Quizlet has a large user base and a strong presence in the education technology market, which enhances its community and resource sharing. The company's goal is to create a significant global impact in education by providing accessible and effective learning solutions.

San Francisco, CaliforniaHeadquarters

2005Year Founded

$60.3MTotal Funding

SERIES_CCompany Stage

Consumer Software, EducationIndustries

501-1,000Employees

Benefits

Shared financial success: Competitive salaries, stock options and a 401k that makes saving for retirement easy.

Competitive healthcare: Comprehensive health, dental, vision and disability plans for you and your family.

PTO and family benefits: Everyone gets four weeks of PTO. Our generous family leave plan has you covered when you welcome a new, little learner into your family.

Professional development: Learning never stops. Get reimbursed each year for professional development, and learn from the best with regular tech talks.

A welcoming workplace: Enjoy free lunch and dinner with great company. Benefit from adjustable desks and employee lounges while taking in amazing views of the Bay.

Commuter benefits: We don’t have a school bus, but we'll help cover your public transportation and parking. If you decide to work late, your ride home is on us as well.

Risks

Increased competition from AI-driven platforms like Khan Academy and Duolingo.

Recent U.S. outage may decrease user trust and retention.

New CEO's strategic shifts could disrupt operations or alienate existing users.

Differentiation

Quizlet offers AI-powered features like Magic Notes and Memory Score for personalized learning.

The platform's gamification strategy includes features like Quizlet Challenge and Quizlet Learn.

Quizlet's Q-Chat beta feature aligns with the trend of conversational AI in education.

Upsides

Quizlet's new CEO, Beidler, may drive fresh strategic direction and innovation.

Intentional slowing of AI adoption focuses on quality, ensuring sustainable long-term growth.

AI-powered features enhance user engagement, potentially increasing retention and user base.

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