NDEA Announces Remote Technical Staff – Search Guidance Position

Why This Opportunity Stands Out

In a landscape where large language models dominate headlines, NDEA (Neuro‑Symbolic Deep‑Learning Engine Alliance) is carving a niche by marrying symbolic reasoning with deep learning. Their search guidance paradigm promises more reliable, interpretable, and efficient AI—an essential step toward true artificial general intelligence (AGI). For tech professionals hungry for impact, this role offers a rare blend of research freedom, high‑ownership engineering, and a globally distributed, high‑talent team.

NDEA at a Glance

NDEA’s mission is to build AGI systems that rely on search guidance—a technique that steers neural networks using structured search processes, making them more data‑efficient and logically sound. The company operates fully remotely, allowing talent from any city or country to contribute. Their engineering culture emphasizes rapid prototyping, rigorous validation, and open collaboration.

The Technical Staff – Search Guidance Position

As a member of the core research team, you will design, implement, and evaluate novel search‑guided learning algorithms. You’ll work directly with senior scientists, translate theoretical breakthroughs into production‑ready code, and help shape the roadmap for NDEA’s neuro‑symbolic AI stack.

Key Responsibilities

• Develop and debug reinforcement‑learning (RL) pipelines that incorporate structured search operators.
• Prototype and benchmark new neuro‑symbolic architectures on large‑scale compute clusters.
• Collaborate with the Enterprise AI platform by UBOS team to integrate search‑guided models into production services.
• Write clear, reproducible research code and maintain comprehensive documentation for internal and external stakeholders.
• Publish findings in top‑tier conferences or internal whitepapers, showcasing the impact of search guidance on model efficiency.
• Contribute to open‑source components such as Chroma DB integration and OpenAI ChatGPT integration, extending the ecosystem for neuro‑symbolic research.

Who Should Apply?

Must‑Have Qualifications

• Strong hands‑on experience building RL or search‑driven learning systems (e.g., AlphaZero‑style planners, Monte‑Carlo Tree Search).
• Published research in reinforcement learning, planning, or symbolic AI (conference papers, arXiv pre‑prints, or industry whitepapers).
• Proficiency in Python, PyTorch/TensorFlow, and modern ML tooling.
• Demonstrated ability to turn abstract research ideas into production‑grade code.
• Excellent written and verbal communication for documenting complex workflows.

Nice‑to‑Have Experience

• Experience with program synthesis, logic solvers, or formal verification (e.g., Z3, Coq).
• Background in combinatorial optimization or discrete mathematics.
• Familiarity with ChatGPT and Telegram integration for rapid prototyping of interactive AI agents.
• Previous work on UBOS templates for quick start that accelerate research pipelines.

Compensation, Benefits, and How to Apply

NDEA offers a competitive salary, meaningful equity, and a generous benefits package that includes health, dental, vision, and a flexible PTO policy. The company also provides an aggressive compute budget—you’ll have access to the latest GPUs and TPUs to run large experiments without bottlenecks.

The hiring process is streamlined:

1. Submit an email to future@ndea.com with:
   • Your location (city, country).
   • A showcase of a project or publication in reinforcement learning or search guidance.
   • Any experience with symbolic systems, logic programming, or formal methods.
   • Links to your professional profiles (Google Scholar, GitHub, LinkedIn, X, etc.).
   • An optional resume if you prefer.
2. Technical interview focused on problem‑solving, coding, and design of search‑guided algorithms.
3. Research discussion with senior scientists to assess alignment with NDEA’s vision.
4. Final cultural fit interview with the remote team.

Successful candidates will join a UBOS partner program‑enabled ecosystem, gaining access to tools like the Workflow automation studio and the Web app editor on UBOS to accelerate downstream productization.

Ready to Shape the Future of Neuro‑Symbolic AI?

If you’re excited by the prospect of building AI that can reason, plan, and search like a human, apply today. For the full job description and to submit your application, visit the original NDEA job posting.

Have questions? Reach out to the hiring team via email, or explore related resources on the UBOS platform to see how you can leverage existing AI infrastructure once you join.

Explore UBOS Solutions That Complement NDEA’s Vision

While you consider this role, you might also find value in the broader UBOS ecosystem:

• UBOS homepage – your gateway to a unified AI development platform.
• About UBOS – learn how the company fuels AI innovation across industries.
• AI research hub – discover cutting‑edge projects that align with neuro‑symbolic research.
• AI Email Marketing – see practical AI applications powered by the same infrastructure you’ll help build.
• AI Image Generator – an example of generative AI that can be combined with symbolic reasoning.
• AI Video Generator – explore multimodal generation pipelines.
• AI Chatbot template – a quick‑start for conversational agents that could benefit from search guidance.
• AI Survey Generator – automate data collection for research studies.
• AI SEO Analyzer – a tool that uses symbolic parsing to improve content relevance.
• AI Voice Assistant – integrate speech interfaces with symbolic reasoning.