Job Description
We are building the infrastructure for the technological singularity of 2026. At Horizon 2026 Labs, we aren't just predicting the future; we are engineering it. We are seeking a visionary Future-Proof AI Architect to lead our research into autonomous agents, quantum-ready neural networks, and the next generation of Generative AI.
In this role, you will bridge the gap between theoretical breakthroughs and production-ready systems, ensuring our platforms are resilient, scalable, and ahead of the curve.
Why Join Us?
- Next-Gen Technology: Work on cutting-edge tech stacks designed for the 2026 era.
- Impactful Work: Your code will define the standard for AI safety and autonomy.
- Remote-First Culture: Collaborate with the best minds from anywhere in the USA.
Responsibilities
- Architect 2026-Ready Systems: Design scalable machine learning pipelines capable of processing exabyte-scale data streams.
- Lead R&D Initiatives: Spearhead research into Agentic AI and LLM fine-tuning for specialized industrial applications.
- Quantum Integration: Develop hybrid algorithms that bridge classical computing and future quantum architectures.
- Ethical AI Governance: Implement robust safety protocols and bias mitigation strategies for autonomous decision-making systems.
- Technical Mentorship: Lead a high-performing team of data scientists and ML engineers in a fast-paced environment.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in Machine Learning Engineering, with a focus on NLP and Deep Learning.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Visionary Mindset: Deep understanding of emerging trends in AI, including generative models and reinforcement learning.
- Communication: Excellent ability to translate complex technical concepts into strategic roadmaps for stakeholders.