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[Remote] Senior AI Engineer

Remote · Canada Full-time

Note: The job is a remote job and is open to candidates in USA. Paper is reimagining how schools support students so that every learner can reach their full potential. We are seeking a Senior AI Engineer to architect and operationalize multimodal AI systems at production scale, owning end-to-end AI initiatives that power features used by millions of learners.

Responsibilities

  • 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
  • Fine-tune and evaluate LLMs, ASR models, and vision/multimodal architectures
  • Design robust evaluation frameworks (offline + online)
  • Implement safety guardrails and bias mitigation strategies
  • 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
  • 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

Skills

  • 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
  • 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

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.

Company Overview

  • Paper is an educational support system that provides personalized tutoring accessible to every student. It was founded in 2014, and is headquartered in Montréal, Quebec, CAN, with a workforce of 51-200 employees. Its website is https://paper.co/.
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