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Paper · 6 hours ago

Senior AI Engineer

United States

Full-time

Remote

Senior Level

$160K/yr - $190K/yr

5+ years exp

Paper is reimagining how schools support students, and they are seeking a Senior AI Engineer to design, develop, and operationalize the first B2B In-Classroom Tutor AI. The role involves collaborating with cross-functional teams to build AI systems that enhance educational support for learners and educators.

EdTechEducationTutoring

Responsibilities

AI Solution Development: Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows (e.g., leveraging LLMs and multi-modal architectures)

Collaboration & Delivery: Work cross-functionally with Product Managers, Software Engineers, and Data Scientists to translate product requirements into robust, production-ready AI solutions

Technical Execution: Own the end-to-end lifecycle of AI initiatives—from data manipulation and model experimentation to deployment, monitoring, and continuous improvement

Performance & Reliability: Optimize models and infrastructure for scalability, latency, and cost efficiency. Partner with DevOps and MLOps to ensure reliable and maintainable AI pipelines

Innovation & Research: Stay current with the latest AI advancements (e.g., LLMs, RAG, multi-modal models) and drive rapid experimentation to identify opportunities for impactful innovation

Qualification

AI/ML systems developmentPython programmingML lifecycle understandingPrompt engineeringCloud infrastructureCollaboration skillsProblem-solving abilitiesContinuous learning

Required

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)

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

Preferred

Experience in EdTech or education-related products

Familiarity with regulatory or ethical considerations in ML model development and evaluation

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.