Paper

The educational support system that makes unlimited, 24/7, high-dosage tutoring accessible to ALL students.

Senior AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2014H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

15 days ago

Salary

$160K - $190K / year

Bachelor Degree5 yrs expEnglishCloudPythonPy TorchTensorflow

Job Description

• 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.

Job 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.
  • 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.

Benefits

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

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