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
