[Hiring] Senior AI Engineer @Paper Education Company Inc.

Role Description

We are seeking a Senior AI Engineer to design, develop, and operationalize the first B2B In-Classroom Tutor AI. You’ll work hands-on across the full machine learning lifecycle, from experimentation to deployment, helping to shape the future of AI at scale for millions of learners and educators.

• Collaborate closely with Product, Data, and Engineering teams to build both trained (supervised and unsupervised) and prompt-based AI systems.
• Balance technical depth with creativity to ensure effective, scalable, and responsible AI implementations.
• Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
• Work cross-functionally with Product Managers, Software Engineers, and Data Scientists to translate product requirements into robust, production-ready AI solutions.
• Own the end-to-end lifecycle of AI initiatives—from data manipulation and model experimentation to deployment, monitoring, and continuous improvement.
• Optimize models and infrastructure for scalability, latency, and cost efficiency.
• Stay current with the latest AI advancements and drive rapid experimentation to identify opportunities for impactful innovation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or related field.
• 5+ years of experience developing production-grade AI/ML systems.
• Proven success delivering both trained (supervised, unsupervised, etc.) and prompt-based (LLM-powered, few-shot, etc.) solutions.
• Experience evaluating and monitoring model performance with robust testing and validation protocols.
• Strong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs.
• Deep understanding of the full ML lifecycle—data pipelines, model training, inference, and monitoring.
• Experience operationalizing LLMs and prompt-engineering workflows.
• Familiarity with distributed systems and cloud infrastructure for AI workloads (e.g., AWS, GCP, Azure).
• Experience with multi-modal or retrieval-augmented generation (RAG) systems is a plus.
• Excellent communication and collaboration skills; able to work effectively in cross-functional environments.
• Strong problem-solving abilities with a focus on translating complex AI concepts into real-world product value.
• Proactive, detail-oriented, and driven by continuous learning and experimentation.

Requirements

• Experience in EdTech or education-related products is preferred.
• Familiarity with regulatory or ethical considerations in ML model development and evaluation.

Benefits

• Comprehensive & competitive compensation, health benefits, retirement plan, stock options, and more.
• Additional vacation days, 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 ongoing workspace needs.
• Generous paid parental leave for growing families.
• Unlimited access to tutoring and educational support for children of Paper employees.