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Ello

AI/ML Engineer

San Francisco, CA$155k–$205kfulltimemidAdded 1 month ago

About this role

Ello is seeking an AI/ML Engineer to build intelligent tutoring systems that adapt to individual children's learning needs. You'll own AI features end-to-end—from research and evaluation to production deployment—while collaborating with learning experts to create measurable educational impact.

What you'll do

  • Design and improve the agent system that powers adaptive tutoring, including decision-making for intervention and personalization
  • Build learner profiling and adaptation systems that model each child's strengths, gaps, pace, and engagement
  • Own AI features end-to-end: identify opportunities, build evaluation systems, and ship production improvements
  • Develop feedback loops and data flywheels that continuously improve product quality through experimentation
  • Collaborate with learning experts and engineers to measure educational quality, engagement, safety, and latency
  • Define and assess the impact of AI on children's educational outcomes

What they're looking for

  • 3+ years building AI products in engineering or research roles
  • Strong Python software engineering fundamentals and code quality standards
  • AI/ML evaluation and measurement systems design
  • Machine learning foundations and ability to read/implement recent ML research
  • Applied mathematics and linear algebra proficiency
  • Experimental thinking and empirical product improvement methodologies
  • Low-latency inference optimization (bonus)
  • Model training experience (bonus)
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Ello

Ello is an AI-powered educational platform that uses intelligent tutoring systems to adapt to individual learners' needs. The company is hiring Growth Engineers and AI/ML Engineers to build scalable features, experimentation frameworks, and adaptive learning systems that drive user engagement and educational outcomes.

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Likely interview questions

  • Walk us through a time you owned an AI feature end-to-end in production—from identifying the opportunity to shipping it. What metrics did you use to measure success?
  • How would you approach building an evaluation system to measure whether an AI tutoring feature actually improves a child's learning outcomes?
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