Quizlet

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. About The Team The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our mission is to make Quizlet feel uniquely tailored for every learner by combining cutting edge machine learning, scalable infrastructure and insights from learning science. You'll collaborate closely with product managers, data scientists, platform engineers and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction and measurable learning outcomes. About The Role As a Senior or Staff Machine Learning Engineer on the Personalization & Recommendations team, you'll design and build large scale retrieval, ranking, and recommendation systems that directly shape how learners discover and engage with Quizlet. You'll bring deep expertise in modern recommender systems - from deep learning based retrieval and embeddings to multi task ranking and evaluation - and help evolve Quizlet's personalization stack to power adaptive, effective learning experiences. You'll work at the intersection of machine learning, product design, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness. This is an onsite position in our San Francisco office; employees are required to work in the office at least three days per week (Monday, Wednesday, and Thursday). In This Role, You Will Design and implement personalization models across candidate retrieval, ranking, and post ranking layers, leveraging user embeddings, contextual signals, and content features. Develop scalable retrieval and serving systems using architectures such as Two Tower, deep ranking, and ANN based vector search for real time personalization across surfaces. Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training serving consistency, and robust monitoring. Partner closely with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experimentation plans. Advance evaluation methodologies, refining offline metrics (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact. Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost at scale. Contribute to the long term technical vision for personalization and recommendations, aligning modeling strategy with Quizlet's AI and product roadmaps. Stay current with RecSys research and industry trends, bringing relevant advances from top conferences (KDD, WSDM, SIGIR, RecSys, NeurIPS) into production. Mentor other engineers and applied scientists, fostering technical growth, experimentation rigor, and responsible ML practices. Champion collaboration, inclusion, and curiosity, helping build a team culture that values diverse perspectives and data driven problem solving. What You Bring To The Table 10+ years of experience in applied machine learning or ML heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems. Track record of measurable impact, improving key online metrics such as CTR, retention, or engagement through recommender or search systems in production. Strong hands on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices - including model registries, feature stores, monitoring, and drift detection. Deep understanding of retrieval and ranking architectures, including Two Tower models, deep cross networks, Transformers, or MMoE, and how to apply them in production contexts. Experience with large scale embedding models and vector search (e.g., FAISS, ScaNN), including training, serving, and optimization at scale. Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test results to drive product decisions. Ability to communicate complex technical ideas clearly, collaborating effectively with product managers, data scientists, and engineers across teams. Growth and mentorship mindset, contributing to team learning and helping raise the bar for modeling quality, experimentation, and reliability. Commitment to responsible and inclusive personalization, ensuring our ML systems respect learner privacy, fairness, and diverse goals. Bonus Points If You Have Publications or open source contributions in RecSys, search, or ranking. Familiarity with reinforcement learning for recommendations or contextual bandits. Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM based reasoning. Prior work in consumer or EdTech applications with personalization at scale. 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 $209,920 - $285,000, 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. 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, diversity, 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! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

A leading educational technology company is seeking a Senior or Staff Machine Learning Engineer in San Francisco. You will design and implement large-scale recommendation systems to enhance the learning experience for students globally. The ideal candidate has over 10 years in applied machine learning and strong skills in Python and PyTorch. The role involves collaborating closely with product teams and utilizing cutting-edge ML techniques for personalization. Excellent compensation and benefits are included.

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. The Team The Mobile Study team at Quizlet is based in San Francisco and focuses on creating the best possible studying experience for millions of learners worldwide. Our team builds and refines core mobile features that make Quizlet a trusted learning companion-everything from flashcards and practice modes to AI-powered study experiences. We collaborate with the broader mobile organization, backend services, design, and product teams to deliver seamless, high-quality learning experiences on iOS and Android. The Role We're looking for a Sr. Software Engineer to join our Mobile Study team at Quizlet. You'll work on our iOS and Android apps, building and improving the study features that power how millions of students learn with Quizlet. You'll help shape the core functionality that keeps learners engaged and successful. In this role, you'll collaborate closely with engineers, designers, and product managers to deliver high-quality mobile experiences. You'll have the opportunity to influence technical direction, contribute to architecture decisions, and mentor other engineers while driving projects from ideation through release. We're looking for someone who is passionate about creating intuitive, performant, and reliable mobile experiences that have a real impact on learners worldwide. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In This Role, You Will Design, build, and maintain high quality software supporting the core product Collaborate closely with product and other cross-functional partners to define requirements and deliver solutions Understand and operate in our existing systems and proactively suggest improvements and new ideas based on industry best practices Drive incident investigations, post mortems, and retrospectives and effectively advocate for long-term improvements to systems and processes Influence within your team for the right engineering improvements to increase quality of our software, testing, and processes What You Bring To The Table Multiple years of experience in mobile software development Strong problem-solving and debugging skills on mobile software products Proficiency in either iOS or Android development and some level of comfort with the other Eagerness to learn, grow, and take on new challenges Excellent verbal and written communication skills across a range of audiences Bonus Points If You Have Experience with native Android, native iOS, and cross-platform mobile development approaches. Including evaluating tradeoffs Track record of influencing adjacent engineering teams of best practices or mobile client needs 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 $165,000 - $205,000, 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 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, diversity, and belonging In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. We are an equal opportunity employer and support diversity, equity, and inclusion. We welcome applicants from all backgrounds including women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans. Come join us! To All Recruiters And Placement Agencies: 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.

A leading educational technology company in San Francisco is seeking a Machine Learning Engineer to drive AI initiatives. This role requires extensive experience in Python, ML libraries, and a solid understanding of NLP. The successful candidate will collaborate with various teams to deliver innovative AI solutions and support the company's mission to enhance learning experiences. Competitive salary offered, with flexible telecommuting options.

Overview 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. 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. Contribute to the vision, strategy, and execution of high-impact Machine Learning (ML) and Artificial Intelligence (AI) initiatives across product areas, ensuring alignment with business goals and customer needs. Design and implement scalable ML systems as production-grade Python services, while collaborating closely with engineering, product, design, and data teams to bring intelligent features to life. Perform AI feasibility assessments and technical discovery, shaping the product roadmap by identifying transformative opportunities and advocating for data-driven innovation. Stay current with advancements in AI/ML research and educational technology, evaluating emerging techniques and tools to inform technical work and contribute to forward-looking development efforts. Design and conduct rigorous experimentation to evaluate and optimize model performance, using advanced techniques in ML, data science, and statistical analysis. Contribute technical insights and apply established best practices in ML/AI development, supporting a collaborative and continuously improving engineering environment. Provide input into architectural and organizational decisions beyond your immediate team, contributing to the technical roadmap and long-term vision for ML/AI across the company. Telecommuting may be permitted up to 4 days per week. When not telecommuting, must report to Quizlet, Inc. at 123 Townsend Street, Suite 600, San Francisco, CA 94107. Salary: $194,834 - $241,913 per year. Minimum Requirements / Qualifications Master's degree or U.S. equivalent in Engineering, Electrical Engineering, or a related field, plus 5 years of professional experience as a Machine Learning Engineer, Data Scientist, or similar role working with ML including ML models, framing, and Natural Language Processing. Must have: 5 years of Python experience and working with Large Language Models (including GPTs); 5 years in a cross-functional team environment conducting ML-driven research shaping product roadmaps; 5 years using ML libraries and deep libraries (scikit-learn, numpy, pandas, scipy, TensorFlow) and SQL to access and analyze data; 2 years building personalized recommendation systems using computer vision, natural language processing, or ranking; 2 years performing SQL, BigQuery, and Google Cloud Platform ML. How to Apply Please send resume to: . Must specify ad code AJDC. 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, diversity, and belonging We strive to make everyone feel comfortable and welcome. We work to create a holistic interview process, where both Quizlet and candidates can explore a mutually beneficial partnership, with a transparent setting that gives a comprehensive view of who we are. In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is about initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We value honest, respectful communication, thoughtful collaboration, and a supportive space where everyone can grow and succeed together. N.B. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are an equal opportunity employer and welcome applicants from all backgrounds. Women, people of color, LGBTQ+ community members, individuals with disabilities, and veterans are strongly encouraged to apply. To All Recruiters And Placement Agencies: Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited resumes. Quizlet will not pay fees to third-party agencies or firms for unsolicited resumes.

Senior Staff Machine Learning Engineer, Personalization & Recommendations Location: San Francisco, CA. Employment type: Full time. Seniority level: Not applicable. Job function: Engineering and Information Technology. Industries: Software Development. 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. About The Team The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities, and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our team's objective is to make Quizlet feel uniquely tailored for every learner by combining cutting edge machine learning, scalable infrastructure, and insights from learning science. About The Role As a senior technical leader on the Personalization & Recommendations team, you'll architect and implement large scale retrieval, ranking and recommendation systems that directly shape the learner experience. You'll bring modern RecSys expertise and help evolve Quizlet's personalization stack. You'll help define and deliver systems that learn from billions of interactions while respecting learner privacy, fairness and integrity. This is an onsite position in our San Francisco office. Employees must be in the office a minimum of three days per week: Monday, Wednesday, and Thursday, as required by your manager or the company. In This Role, You Will Work closely with senior leaders to define and drive the long term technical vision for personalization and recommendations across multiple Quizlet surfaces. Communicate complex modeling trade offs and recommendations to diverse audiences, influencing decisions through clear reasoning, data, and empathy. Architect and build large scale personalization models across candidate retrieval, ranking, and post ranking layers, leveraging user embeddings, contextual signals, and content features to power adaptive learning experiences. Develop scalable retrieval and serving systems using modern architectures such as Two Tower, deep ranking, and ANN based vector search for real time personalization at global scale. Lead model training, evaluation, and deployment pipelines for retrieval and ranking systems, ensuring training serving consistency, reliability, and robust monitoring. Partner closely with Product and Data Science to translate learning objectives into measurable modeling goals and experimentation frameworks. Advance evaluation methodologies by refining offline metrics and online A/B testing to rigorously measure learner impact and model performance. Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and cost efficient serving in production environments. Stay at the forefront of personalization and RecSys research, bringing relevant advances from top conferences into applied production systems. Mentor and coach engineers and applied scientists, fostering technical excellence, reproducibility, and responsible AI practices across the organization. Champion a culture of collaboration, inclusivity, and experimentation, helping elevate Quizlet's AI craft and ensuring personalization systems serve learners equitably and effectively. What You Bring To The Table 12+ years of experience in applied machine learning or ML heavy engineering, with deep expertise in personalization, ranking, or recommendation systems. Proven ability to shape technical direction across multiple teams or disciplines, balancing long term architectural vision with near term product and business priorities. Exceptional communication and storytelling skills - able to distill complex technical concepts into clear narratives for executives, product partners, and non technical audiences. Demonstrated leadership through influence, guiding teams through ambiguity, aligning stakeholders around measurable goals, and ensuring accountability for impact. Experience mentoring senior engineers and applied scientists, leading technical working groups, and driving cross team innovation and standardization. Track record of measurable impact, improving key online metrics such as CTR, retention, and engagement through recommender, ranking, or search systems in production. Deep technical understanding of modern retrieval and ranking architectures and multi stage RecSys pipelines. Strong hands on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices. Experience with large scale embedding models and vector search systems (FAISS, ScaNN, or similar), including training, serving, and optimization at scale. Expertise in experimentation and evaluation, connecting offline metrics with online A/B results to drive confident, data informed decisions. Commitment to collaboration and inclusion, fostering a culture that values diverse perspectives, constructive debate, and shared ownership of results. Bonus Points If You Have Publications or open source contributions in RecSys, search, or ranking. Familiarity with reinforcement learning for recommendations or contextual bandits. Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM based reasoning. Prior work in consumer or EdTech applications with personalization at scale. 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. Total compensation for this role is market competitive, including a starting base salary of $242,240 - $344,000, 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. 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, diversity, 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. In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer, Quizlet welcomes applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

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. About The Team (Applied AI) Our mission is to invent and deploy the next generation 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. About The Role As a Sr. Staff Applied AI Engineer, you will be the hands on technical leader 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 architect and ship 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, and mentor senior engineers to multiply impact across the org. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In This Role, You Will Own the technical roadmap for applied AI spanning personalization, ranking, search, recommendations, and GenAI/LLM systems; tie modeling work directly to business metrics (engaged learners, conversion, retention, revenue) Design 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 Lead LLM based features: stand up RAG pipelines, instruction /preference tuning (e.g., SFT/DPO/RL style), prompt engineering, and latency/cost aware inference strategies; define offline evals + human in the loop and online success metrics Create a "Learner 360" representation by synthesizing behavior signals, explicit inputs, and conversational context into robust embeddings reused across surfaces Institutionalize evaluation: build an eval harness for both ranking and generative systems (offline metrics like NDCG/AUC/BLEU/BERTScore; quality/safety scorecards; inter rater reliability), and close the loop with online A/B experiments Ship reliably at scale: drive training serving consistency, drift detection, canarying, rollbacks, on call standards for model services, and strong CI/CD for features & models Mentor and uplevel a high performing group of ML/SWE peers; set crisp technical direction and raise the bar on code quality, experimentation rigor, and reproducibility Partner deeply with Product, Design, Legal, and Data Science on objectives, risk/benefit tradeoffs, and responsible AI practices Stay current with the state of the art (RecSys, LLMs, multimodal) and selectively introduce methods that measurably improve learner outcomes What You Bring To The Table 10+ years of industry experience in applied ML/AI or ML heavy software engineering, including staff level impact leading cross functional efforts end to end BS/MS/PhD in CS, ML, or related quantitative field (or equivalent experience) Proven record shipping large scale ranking/personalization or search systems (retrieval, Two Tower/dual encoders, multi task rankers), and improving online metrics (e.g., CTR, session depth, retention) Hands on with LLM/GenAI systems: data curation, fine tuning (SFT/PEFT, preference optimization), prompt engineering, evaluation, and productionization (latency/cost/safety) Deep fluency in Python/PyTorch, data and feature engineering, distributed training/inference on GPUs, and modern MLOps (model registry, feature stores, monitoring, drift) Strong experiment design (offline/online), metrics literacy, and skills translating ambiguous product goals into tractable modeling roadmaps Demonstrated technical leadership: mentoring senior engineers, setting architecture, and driving consensus amid ambiguity Bonus Points If You Have 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) 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 $242,240 - $344,000, 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 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, diversity, 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! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

A leading educational technology company in San Francisco is looking for a Senior Staff Machine Learning Engineer to lead the development of personalization and recommendation systems. The role focuses on architecting systems that utilize modern retrieval and ranking techniques, fostering collaboration across teams, and mentoring engineers. Candidates should have over 12 years of ML experience, strong Python skills, and a commitment to inclusivity. This full-time role ensures impactful work in an innovative environment. Employees are required to work onsite at least three days a week.

Site Reliability Engineer, Cloud Infrastructure 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. About The Role We are looking for a Site Reliability Engineer (SRE) to join our infrastructure team and help build reliable, scalable, and efficient systems. As an SRE, you'll blend software engineering expertise with systems knowledge to improve uptime, enhance performance, and reduce operational toil. This is an onsite position in our San Francisco office. Employees are required to be in the office a minimum of three days per week (Monday, Wednesday, Thursday). In This Role, You Will Monitor and maintain the reliability and uptime of our systems and services through effective alerting, incident response, and resilient design patterns. Write automation scripts and tools for deployments, infrastructure management, and operational tasks to reduce manual effort (toil). Contribute to observability improvements (metrics, logging, tracing) to enhance visibility into systems and applications. Work with product and engineering teams to ensure systems are designed with scalability and resilience in mind. Participate in post incident reviews and implement action items to prevent recurrence. Support and optimize infrastructure (e.g., Kubernetes, cloud platforms like GCP/AWS). Learn and apply SRE best practices, including SLOs, SLIs, and error budgets. What You Bring To The Table 2+ years of professional experience in SRE, DevOps, Platform Engineering, or related infrastructure roles. Previous internship or professional experience writing code in a software development role (backend, full stack, or similar). Solid programming skills in languages such as Python, Go, PHP. Familiarity with CI/CD systems and infrastructure as code tools (e.g., Terraform, GitHub Actions). Understanding of Linux systems, networking fundamentals, and cloud native concepts. Exposure to Kubernetes, container orchestration, or service mesh technologies is a plus. Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, Datadog) is helpful. A growth mindset with interest in continuous improvement, root cause analysis, and reducing operational burden. Good communication and collaboration skills; comfortable working across teams. 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 $120,000 - $168,488, 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. 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, diversity, 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! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters And Placement Agencies 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. 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.

Senior Software Engineer, Developer Experience Get AI-powered advice on this job and more exclusive features. 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. About The Role We are looking for a Senior Software Engineer to join our Developer Experience team and build the tools, systems, and workflows that make our engineering organization more productive. You'll focus on release engineering, CI/CD pipelines, testing infrastructure, AI tooling, and metrics-driven improvements that help developers ship faster and more reliably. This is an onsite position in our San Francisco office; employees are required to be in the office a minimum of three days per week (Monday, Wednesday, and Thursday) as needed. In This Role, You Will Develop internal tools and platforms that reduce friction in the development workflow-from local development to production deployment Design and build CI/CD pipelines and release automation systems that enable safe, fast deployments across our engineering organization Create and maintain testing infrastructure, including frameworks, tooling, and environments that improve test coverage and developer confidence Establish metrics and observability for developer experience, measuring build times, deployment frequency, test reliability, and other key indicators Partner with product engineering teams to understand pain points and design solutions that scale across the organization Lead technical initiatives to improve code quality, test automation, and release processes Mentor engineers on testing best practices, CI/CD patterns, and developer productivity techniques What You Bring To The Table 5+ years of professional software engineering experience, with significant time spent on developer tooling, CI/CD, testing infrastructure, or release engineering Previous experience as a product engineer building features and shipping code to production Strong programming skills in languages such as Python, Go, TypeScript, or PHP Deep experience with CI/CD systems (e.g., GitHub Actions, CircleCI) and automated testing frameworks Hands on experience with release engineering, deployment strategies (blue/green, canary, feature flags), and rollback procedures Comfortable with data analysis and metrics-you know how to measure developer productivity and use data to drive improvements Familiarity with infrastructure as code (Terraform) and configuration management tools Strong systems thinking with the ability to identify bottlenecks and design scalable solutions Excellent communication skills; able to understand developer needs and advocate for productivity improvements 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 $165,000 - $225,000, 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 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, diversity, 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! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters And Placement Agencies 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. 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.