Ndea
Building AGI that can innovate.
Technical Staff - Search Guidance
About the role
Ndea is building AGI systems that depend on search guidance. We're hiring hands-on researchers/engineers to drive our deep learning effort in search guidance, training models to make structured search more efficient and reliable.
This is a high-ownership role for someone who wants to operate at the leading edge of neuro-symbolic AI, designing, implementing, and validating new approaches in code.
We offer:
- Meaningful equity, competitive salary, and benefits
- Aggressive compute budget
- Small, high-talent-density, globally remote team (work from any country)
Qualifications:
- Strong hands-on experience building and debugging RL or search-driven learning systems
- Research contributions in reinforcement learning, planning, or search (papers and/or industry work)
- Evidence of turning research ideas into working implementations
- Comfort operating as an individual contributor in a small, high-agency environment
- Interest in symbolic approaches (program synthesis, logic, solvers, formal methods, etc.)
- Clear communication and documentation skills for complex research/engineering workflows
Nice-to-have:
- Experience with search-guided learning in structured or combinatorial domains
- Work in planning-heavy, exploration-heavy, or solver-adjacent settings
- Familiarity with discrete mathematics, verification, or theorem-proving style problems
This role may not be a fit if you’re primarily focused on…
- LLM-only RLHF or post-training pipelines
- World model scaling or agent abstraction layers as the main artifact
Ndea is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
About the interview
-
Application Review
We review applications on a rolling basis. If there’s a strong match, we’ll reach out to schedule next steps.
-
Intro Conversation (30min)
A short call to discuss your background, interests, and alignment with the role.
-
Founder Conversations (1hr each)
Separate discussions with Co-CEOs Mike Knoop and François Chollet focused on technical depth, research opinions, and long-term vision.
-
Technical Discussion with Research Teammate (1hr)
A deeper dive into your past work and how you approach problem solving.
We aim to move quickly and keep the process focused. We’ll keep you informed at each step.
About Ndea
Ndea is building frontier AI systems that blend intuitive pattern recognition and formal reasoning into a unified architecture.
AI for Scientific Advancement
Unlike all life before us, humanity's ascent is a story of ingenuity, not just biological evolution. Our progress has been driven by the curiosity to acquire knowledge, the ability to pass it on, and an intrinsic drive to innovate. We build technology which gives us leverage beyond our biology.
We stand at the top of a knowledge and technology colossus that we collectively created over the past ten thousand generations. Scientific progress has helped us overcome burdens that long defined human life — famines, plagues, and widespread illiteracy. Science will continue to redefine the boundaries of the human condition.
Today, the acceleration of scientific progress hinges on one factor: AI capable of independent invention and discovery. This capacity is the gateway to advancements beyond our wildest imagination.
A New Research Lab
We're starting Ndea — an AI research and science lab. The name - like 'idea' with an 'n' - is inspired by the Greek concepts ennoia (intuitive understanding) and dianoia (logical reasoning), capturing our first goal to merge deep learning with program synthesis.
Ndea is entirely focused on developing and operationalizing AGI to realize unprecedented scientific progress in our lifetime for the benefit of all current and future generations.
Building AGI alone is a monumental undertaking, but our mission is even bigger. We're creating a factory for rapid scientific advancement — a factory capable of inventing and commercializing N ideas.
From our vantage point today, we see many 'known' frontiers like self-driving vehicles, drug discovery, sustainable energy, robotics, and space exploration. While AGI will benefit all of these, the most exciting adventure lies in the 'unknown'. AGI promises discoveries and progress we cannot imagine today.
