Senior AI Engineer

Paper

1d • $160,000 - $190,000 • Remote

About The Position

We’re building the first B2B, in-classroom Voice + Video AI Tutor designed for real-world learning environments. This system operates in live classrooms—processing noisy audio, interpreting visual signals, and delivering low-latency, safe, pedagogically aligned AI support to educators and students. We are seeking a Senior AI Engineer to architect and operationalize multimodal AI systems at production scale. You will own end-to-end AI initiatives—from research and experimentation through deployment and continuous optimization—powering AI features used by millions of learners. This is a high-impact role with significant technical ownership in defining how AI is embedded into our platform. Paper is reimagining how schools support students so that every learner can reach their full potential. Our vision is a world where every student receives timely, personalized, and relevant academic support. We offer a suite of scalable solutions including 24/7 tutoring, writing feedback, math practice, college and career support, and AI-powered instructional tools that provide personalized support to all students, including multilingual learners. Our GROW high-impact tutoring program accelerates learning through targeted small-group instruction, delivers measurable gains in student achievement, and eases teacher workloads. Trusted by 500+ school districts across 40+ states and backed by leading investors including IVP, Sapphire Ventures, Framework Capital, and Reach Capital, we’re pursuing a bold goal: to drive the best academic outcomes for as many students as possible. Recent articles: GROW by Paper Drives 201% Increase in Grade-Level Proficiency in Just 12 Weeks GROW by Paper Earns Stanford’s NSSA Tutoring Program Design Badge, Signaling Excellence in Research-Aligned Design Paper Appoints Marisa Burkhart as CRO What if every learner had individualized support to help them solve problems, explore new ways of learning, and chart their own paths toward success - in school and beyond? Today, Paper and our K-12 partners are at the forefront of achieving this vision. From 24/7 high-quality tutoring to after-school enrichment to college and career resources, our Educational Support System empowers students throughout their academic journeys, helping them to build confidence for what comes next.

Requirements

• 5+ years building and deploying production AI/ML systems.
• Hands-on experience operationalizing LLM-based systems (RAG, agents, prompt workflows, fine-tuning).
• Experience with multimodal or vision systems.
• Demonstrated ownership of AI systems in production (monitoring, evaluation, iteration).
• Strong Python proficiency and experience with PyTorch or TensorFlow.
• Experience working with distributed/cloud infrastructure for ML workloads.

Nice To Haves

• Experience building real-time or low-latency ML systems.
• Experience working with educational data or regulated environments (FERPA/COPPA).
• Experience designing evaluation frameworks for generative systems.
• Background in optimizing ML systems for cost at scale.

Responsibilities

• Multimodal AI Architecture Design and deploy real-time voice and vision AI systems for classroom environments.
• Evaluate tradeoffs between fine-tuning, RAG pipelines, prompt-based approaches, and tool-using agents.
• Build scalable inference systems with strict latency and cost constraints.
• Model Development & Experimentation Fine-tune and evaluate LLMs, ASR models, and vision/multimodal architectures.
• Design robust evaluation frameworks (offline + online).
• Implement safety guardrails and bias mitigation strategies.
• Productionization Own the full ML lifecycle: data ingestion, training, validation, deployment, monitoring, and iteration.
• Optimize infrastructure for GPU utilization, latency, and cost efficiency.
• Partner with MLOps to build reliable, versioned AI pipelines.
• Cross-Functional Collaboration Work closely with Product and Engineering to translate classroom needs into production-ready AI systems.
• Clearly communicate tradeoffs between model complexity, performance, and cost.
• Contribute to long-term AI roadmap and architecture decisions.

Benefits

• Comprehensive & competitive compensation, health benefits, retirement plan, stock options, and more.
• In addition to vacation days, we provide Paperites with sick days and 4 extra weeks off - including statutory holidays, Paper Days throughout the year, and a full Paper Week from Dec 25 to Jan 1.
• A $500 stipend to set-up your workspace and $100 monthly stipends to support with on-going workspace needs.
• We support growing families with generous paid parental leave.
• Unlimited access to tutoring and educational support for children of Paper employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed