Job Description
Are you ready to architect the future?
Nexus Horizon Labs is pioneering the 2026 Protocol, a next-generation decentralized intelligence infrastructure. We are looking for a visionary Lead AI Architect to build the foundational models that will redefine human-machine interaction.
In this role, you won't just be writing code; you will be defining the roadmap for the next decade of AI evolution. You will work at the intersection of Generative AI, Neural Networks, and Scalable Distributed Systems.
Why join us?
- Impact: Directly influence the core technology stack of the 2026 vision.
- Compensation: Competitive salary and equity package.
- Environment: Work with top-tier engineers in a state-of-the-art San Francisco office.
Responsibilities
- Architectural Leadership: Design and implement scalable machine learning pipelines and neural network architectures aligned with the 2026 strategic roadmap.
- Model Optimization: Push the boundaries of Deep Learning by optimizing inference speeds and accuracy for edge and cloud deployment.
- Protocol Integration: Lead the technical integration of AI agents into our decentralized protocol ecosystem.
- Research & Development: Stay ahead of the curve by researching emerging AI paradigms (e.g., Transformers, Diffusion Models) and applying them to real-world problems.
- Code Review & Mentorship: Establish engineering best practices, conduct rigorous code reviews, and mentor junior engineers to foster a culture of excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of professional experience in AI/ML engineering with at least 3 years in a lead or architectural role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and C++.
- System Design: Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Problem Solving: Proven ability to solve complex, ambiguous problems and deliver high-performance solutions under tight deadlines.