Senior AI Engineer

Paper

🇺🇸Remote - United States$160K–$190K/yr1mo ago

K-12 Engineering AI Development Machine Learning Software Engineering Cloud Computing Multimodal Systems

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Summary

Senior AI Engineer role at Paper to architect and deploy multimodal AI systems (voice and vision) for real-time learning in classroom environments. This high-impact position involves end-to-end ownership of AI initiatives powering features used by millions of learners across 500+ school districts.

Key Responsibilities: Design and implement real-time voice and vision AI systems, optimize the ML lifecycle from data ingestion through deployment, and collaborate with product and engineering teams to translate classroom needs into production-ready AI solutions. Own model development, experimentation, evaluation frameworks, safety guardrails, and infrastructure optimization for latency and cost efficiency.

Skills & Tools: 5+ years building and deploying production AI/ML systems with hands-on experience operationalizing LLM-based systems (RAG, agents, fine-tuning), multimodal or vision systems, and strong Python and cloud infrastructure skills. Demonstrated ability to manage tradeoffs between model complexity, performance, and cost, with expertise in monitoring, evaluation, and iteration.

Qualifications: 5+ years in AI/ML systems development with proven production deployment experience and demonstrated ownership of AI systems in operation. Preferred backgrounds include real-time ML systems, educational data experience, and ML cost optimization expertise.

Location: Remote position available across North America with no travel required

Compensation: $160,000 – $190,000 / annually

Job Description

What You’ll Own

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.

Required Experience

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.

Strongly Preferred

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.

The annual salary range for this position is $160000 - $190,000 USD or $145,000 - $173,000 CAD, plus equity. Please note that the final offer amount is determined by multiple factors, including geographic location as well as candidate experience, and may vary from the amounts listed above

What is it like to work at Paper? You will:

Be joining a remote-first company with a collaborative, mission-driven culture working together to write the next chapter of Paper!
Have opportunities to connect in person throughout the year, even while working remotely day-to-day.
Be part of an exciting new era of growth, with fresh leadership, a bold product vision, and a redefined charter.
Thrive in a fast-moving, build-from-scratch environment where agility and critical thinking guide decisions, collaboration is built on trust and healthy challenge, and every team member takes ownership to deliver real customer impact and grow every day.

Additional 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.

You’ll be joining a team of mission-driven builders who care deeply about equity in education, and who thrive in a culture of ownership, velocity, and continuous learning. If you’re energized by challenges, inspired by impact, and ready to help lead a high-growth business through its next phase, we’d love to meet you.

We believe diverse teams build better products and we are committed to creating an inclusive environment for all employees. Paper does not discriminate on the basis of race, color, religion, gender, gender orientation, gender expression, sexual orientation, age, national origin, disability, marital status, or military status.

Requisition ID

R-100319