Ello
AI/ML Engineer
San Francisco, CA · Exec
H1B sponsorship availableDetected 55 days ago
PythonMachine LearningA/B TestingResearchCommunication
About the role
- We're looking for an AI/ML Engineer to join our product engineering and applied research team.
- Our team operates at the intersection of research and production, solving open-ended problems while delivering real-world products.
- We use the best tool for the job, whether that's a novel machine learning model or plain software engineering fundamentals.
Responsibilities
- Own AI systems and features end-to-end: from identifying product opportunities, to building and operating research and evaluation systems, to shipping production improvements used by children worldwide.
- Design and improve the agent harness that powers Ello's tutoring experience, including how the tutor decides what to teach next, when to intervene, and how to adapt to each child
- Develop learner profiling and adaptation systems that build a model of each child - their strengths, gaps, pace, and engagement patterns - and use that model to drive instructional decisions
- Develop feedback loops and data flywheels that continuously improve product quality through usage, evaluation, and experimentation
- Want to build meaningful relationships at work
Requirements
- 3+ years of experience building AI products in an engineering or research role.
- You have sufficient proficiency in applied mathematics and linear algebra to contribute to research discussions.
- You can make technical decisions with incomplete information while still maintaining high engineering standards.
- You can think empirically, but also make good calls in the gray area when needing to weigh conflicting signals and move quickly.
- AI-forward workflow: you have a working practice of leveraging AI in your engineering workflows, and an active curiosity in how AI is transforming work.
- Experience with model training
Benefits
- Help define the impact of AI on children's education.
- Collaborate with learning experts and product engineers to build infrastructure measuring the educational quality, engagement, safety, latency, and behavior of an AI teacher
- Machine learning foundations: You're able to read recent ML papers and implement parts of the stack - you don't need deep model training expertise, but you do need to understand how they work and how to evaluate them.
Visa & Work Authorization
- If you already have work authorization in the US, we're open to sponsorship depending on your situation.
This listing is sourced directly from Ello's careers page and normalized into a canonical job model.