Senior AI Systems Engineer — End-to-End Education AI

Pearson

Dover (DE)

Vor Ort

USD 140.000 - 160.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

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Zusammenfassung

Pearson invites a Lead Specialist, Applied AI Systems Engineer to design, build, and improve intelligent systems for Pearson's next-generation K–12 assessments. You will shape cross-disciplinary AI capabilities in a robust, testable framework and work with measurement, learning science, and software teams to deliver reliable, education-focused AI outcomes.

The role emphasizes end-to-end AI design, evaluation-driven development, and responsible AI, offering autonomy to prototype and iterate

Qualifikationen

  • Advanced degree in CS, AI, ML, or related field.
  • Experience designing end-to-end AI or ML systems.
  • Strong breadth across predictive ML and retrieval-grounded systems.
  • Proven evaluation experience with ground truth or expert judgment.
  • Experience with knowledge graphs.
  • Strong Python; TypeScript ability.
  • Autonomous with strong collaboration skills.

Aufgaben

  • Design complete AI systems spanning data, retrieval, models, and humans.
  • Build reference implementations with software engineers.
  • Develop agentic and knowledge-grounded AI workflows.
  • Create evaluation benches and datasets for verification.
  • Collaborate with psychometricians and content experts.
  • Integrate AI capabilities into the assessment authoring system.

Kenntnisse

Python
TypeScript
Graph knowledge
ML/AI systems
Evaluation expertise

Ausbildung

Advanced degree in CS/AI/Statistics

Tools

Graph databases
PostgreSQL
AWS
MLflow
Go
TypeScript

Jobbeschreibung

Pearson invites a Lead Specialist, Applied AI Systems Engineer to design, build, and improve intelligent systems for Pearson's next-generation K–12 assessments. You will shape cross-disciplinary AI capabilities in a robust, testable framework and work with measurement, learning science, and software teams to deliver reliable, education-focused AI outcomes.

The role emphasizes end-to-end AI design, evaluation-driven development, and responsible AI, offering autonomy to prototype and iterate

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