Job Description
AI Research Scientist | Agentic AI Startup | $30M Raised | SF or NY
\n
\n
What if AI didn't just write code...
\n
\n
What if it could build companies?
\n
\n
Ghost is partnering with a stealth AI startup backed by $30M from leading investors that's tackling one of the most ambitious problems in AI today.
\n
\n
They're not building another chatbot.
\n
\n
They're building AI systems that can:
\n
\n
- \n
- Discover demand.
- Acquire customers.
- Deliver products.
- Generate real revenue.
- Learn from failure.
- Repeat.
\n
\n
\n
\n
\n
\n
\n
\n
Success isn't measured by benchmarks.
\n
\n
It's measured by whether the agent can survive in a real market.
\n
\n
Why this is different
\n
\n
Most AI labs optimise for models.
\n
\n
This team is building AI that creates businesses.
\n
\n
You'll define the research agenda across:
\n
\n
- \n
- Agent reasoning & reliability
- Post-training & continual learning
- RL, preference optimisation & synthetic data
- Market-based evaluation frameworks
- Production agent systems
\n
\n
\n
\n
\n
\n
\n
You'll join a 10-person founding team, helping shape the technical direction from day one.
\n
\n
You'll love this if...
\n
\n
- \n
- You enjoy first-principles thinking.
- You want your research deployed into production—not left in papers.
- You want founding-level ownership on a genuinely new research problem.
- You believe the next frontier for AI is economic agency, not bigger benchmarks.
\n
\n
\n
\n
\n
\n
Tech
\n
Python • PyTorch • RL • Post-Training • Reasoning • TypeScript • Agent Systems
\n
\n
San Francisco | In Person
\n
\n
If you're building the future of AI, why not build AI that builds companies?👻