Staff Applied AI Engineer in San Francisco

Company Overview (Energy Jobline)

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

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About Quizlet

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two‑thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.

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.

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About the Team (Applied AI)

Our mission is to invent and deploy the next of intelligent, personalized, and adaptive learning experiences. We’re consolidating AI efforts across the company into a unified portfolio and are accountable for a disproportionate share of Quizlet’s growth and product differentiation. You’ll partner closely with Product, Data Science, and the AI & Data Platform to deliver an AI‑driven learning coach that’s recognized as best‑in‑class.

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Role Overview

Position: Applied AI Engineer
Location: San Francisco (onsite) – minimum three days per week in the office (Monday, Wednesday, Thursday) and as needed by your manager or the company.

In this role, you will work at the forefront of our AI strategy, shaping Quizlet’s AI development in one of the two complementary domains:

• Personalization & Ranking – retrieval and ranking systems that match learners with the right content, experiences, and monetization moments across surfaces (search, feed, notifications, ads).
• Generative AI & Agentic Systems – LLM‑powered tutoring, content understanding/synthesis, and tools that boost learner outcomes and creator productivity.

You will work on a variety of models and modeling systems (from Two‑Tower retrieval and multi‑task rankers to RAG/LLM pipelines), ensure robust evaluation and responsible deployment.

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Responsibilities

• Contribute to the technical roadmap for applied AI across personalization, ranking, search, recommendations, and GenAI/LLM systems; help connect modeling work 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, and improve latency/cost‑aware inference; contribute to offline evals + human‑in‑the‑loop and online success metrics
• Help develop “Learner 360” representations by working with behavior signals, explicit inputs, and conversational context to create robust embeddings reused across surfaces
• Support evaluation infrastructure: contribute to the eval harness for both ranking and generative systems (offline metrics like NDCG/AUC/BLEU/BERTScore; quality/safety scorecards), and help close the loop 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, and 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
• Stay current with ML research (RecSys, LLMs, multimodal) and propose new methods that could improve learner outcomes

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Requirements

• 8+ years of industry experience in applied ML/AI or ML‑heavy software engineering
• BS/MS in CS, ML, or related quantitative field (or equivalent experience)
• Experience building ranking/personalization or search systems (retrieval, Two‑Tower/dual encoders, multi‑task rankers) and contributing to online metric improvements (e.g., CTR, session depth, retention)
• Hands‑on experience with LLM/GenAI systems: data curation, fine‑tuning (SFT/PEFT, preference optimization), prompt engineering, evaluation, and productionization considerations (latency/cost/safety)
• Strong skills in Python/PyTorch, data and feature engineering, distributed training/inference on GPUs, and familiarity with modern MLOps (model registry, feature stores, monitoring, drift)
• Solid experiment design (offline/online), metrics literacy, and ability to translate product goals into modeling solutions
• Strong collaboration skills and eagerness to learn from senior engineers; some experience mentoring junior teammates is a plus

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Bonus Points

• EdTech or consumer mobile experience; conversational tutoring or learning science‑informed modeling
• Publications/open‑source with RecSys/LLMs (e.g., RecSys, KDD, NeurIPS, ICLR, ACL), or contributions to safety/guardrails tooling
• Experience building on a modern MLOps stack (feature mgmt, orchestration, streaming, online inference at scale)

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Compensation, Benefits & Perks

• Quizlet is an equal opportunity employer. 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 $207,856 – $272,810, 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

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Why Join Quizlet?

🌎 Massive reach: 60M+ users, 1B+ interactions per week
🤖 Cutting‑edge tech: Generative AI, adaptive learning, cognitive science
📈 Strong momentum: Top‑tier investors, sustainable business, real traction
🏟️ Mission‑first: Work that makes a difference in people’s lives
🤝 Inclusive culture: Committed to equity, , and belonging

We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are!

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Application Process

If you are interested in applying for this job, please press the Apply button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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Equal Opportunity Statement

Quizlet’s success as an online learning community depends on a strong commitment to , equity, and . As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of , members of the + community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

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Recruiter Notice

At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third‑party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet. #LI-onsite

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AI in Hiring

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.