Job Description
Research-Driven Product Engineer\n
\nAbout Dyssonance\n
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Dyssonance is a research lab working on what comes after LLMs.
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Large language models have transformed what machines can do with language. But language is not thought and generating an answer is not the same thing as reasoning about the world.
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We’re building systems designed to reason continuously under uncertainty: to form and revise beliefs, build internal models of the world, and maintain coherent thought over time.
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We call the resulting technology Cognitive Infrastructure. Much of our underlying architecture remains in stealth, but our ambition is simple: understand the foundations of thought well enough to build them.
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We’re a small, highly technical team with backgrounds spanning DeepMind, Google, Apple, and other leading AI and technology organizations.
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The Role\n
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We’re looking for an early-career Research-Driven Product Engineer who loves building.
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You’ll sit directly between research and product: understand new capabilities as they emerge from our research, figure out what they make possible, and turn them into working prototypes and products.
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Often, the starting point won’t be a product spec. It’ll be a new capability and a question:
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What can we build now that wasn’t possible before?
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Your job is to actually build it.
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What You’ll Do\n
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- Turn research breakthroughs into working prototypes and products
- Explore new applications of Dyssonance’s Cognitive Infrastructure
- Build end-to-end across AI systems, backend, frontend, and APIs
- Create intuitive interfaces for complex reasoning capabilities
- Put prototypes in front of users and iterate quickly
- Work directly with research, engineering, product, and the founders
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Who You Are\n
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- You’re early in your career and have a strong technical foundation in CS, engineering, mathematics, physics or a related field
- You love building and learn new technologies quickly
- You can understand unfamiliar technical ideas well enough to build with them
- You enjoy hackathons, side projects, open source, or turning interesting ideas into prototypes
- You’re comfortable with Python and modern web development
- You’ve experimented with AI agents, model APIs, or other modern AI systems
- You’re comfortable with ambiguity and high ownership
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What We Care About\n
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We care much more about what you’ve built than how many years you’ve spent in industry.
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Show us your GitHub projects, hackathon submissions, side projects, prototypes, or the weird experiment you built because you wanted to know whether it would work.
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If your first reaction to a new technical capability is “what can I build with this?”, we’d love to talk to you.
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