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1 month ago
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Hellyeah·1 month ago
1 month ago

AI Engineer — Learn Engine: Platform & Simulation

San Francisco HQ, United States of AmericaFull-timeOn-siteMid · 2-5 yearsAI Engineer

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Must-have skills for this role

  • typescript
  • python
  • simulation
  • browser automation

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Apply faster with autofill FREEhellyeah uses Ashby - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Build the tools that do not exist yet — a campaign simulator, a creative intelligence engine, an experimentation platform.
  • Work alongside the intelligence engineer to create a closed-loop optimization system that gets smarter with every dollar spent.
  • Own the platform and simulation layer of Learn Engine.
  • Build the campaign simulator, experimentation infrastructure, screen-capture and creative-intelligence pipelines, and client-facing data products that let operators model outcomes before spending real money.

What they're looking for

  • Has built platform/tooling systems that unlock new capabilities for users, not just internal plumbing.
  • Strong TypeScript or Python with fast production shipping ability.
  • Experience with browser automation, screen capture, simulation, or experimentation infrastructure.
  • Strong product instincts for turning messy data and workflows into usable tools.
  • AI-first development workflow with high implementation velocity.

Nice to have

  • Simulation engine / Monte Carlo / probabilistic modeling experience
  • Computer vision or image analysis (for creative intelligence)
  • Ad-tech or growth engineering background
  • A/B testing or experimentation infrastructure experience
  • Experience with Mastra, Langchain, or LLM orchestration frameworks

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Build the tools that do not exist yet — a campaign simulator, a creative intelligence engine, an experimentation platform. This is invention work, not integration work. Every tool you build becomes a product moat that competitors cannot easily replicate. You will work alongside the intelligence engineer to create a closed-loop optimization system that gets smarter with every dollar spent.

Must Have:
Has built platform/tooling systems that unlock new capabilities for users, not just internal plumbing.

  • Strong TypeScript or Python with fast production shipping ability.

  • Experience with browser automation, screen capture, simulation, or experimentation infrastructure.

  • Strong product instincts for turning messy data and workflows into usable tools.

  • AI-first development workflow with high implementation velocity.

Nice to have:
Simulation engine / Monte Carlo / probabilistic modeling experience

  • Computer vision or image analysis (for creative intelligence)

  • Ad-tech or growth engineering background

  • A/B testing or experimentation infrastructure experience

  • Experience with Mastra, Langchain, or LLM orchestration frameworks

Own the platform and simulation layer of Learn Engine.
Build the campaign simulator, experimentation infrastructure, screen-capture and creative-intelligence pipelines, and client-facing data products that let operators model outcomes before spending real money.
This role owns tooling, infrastructure, simulation fidelity, and productized research surfaces — not the optimization policy itself.

Company

Hellyeah
San Francisco HQ, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Hellyeah's careers site·first seen 12 Aug 2026·last verified 8 Sept 2026·How we source jobs

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