Job Description
Are you ready to define the intelligence of tomorrow? Nexus Horizon is seeking a visionary Next-Gen AI Architect to spearhead our research into Artificial General Intelligence (AGI) and advanced neural interfaces.
In this pivotal role, you will not merely write code; you will architect the foundational models that will define the technological landscape of 2026. You will lead the development of autonomous agents, next-generation Large Language Models (LLMs), and predictive neural systems designed to interact seamlessly with human intent.
Join us in building the future of human-machine symbiosis from our innovation hub in the heart of San Francisco.
Responsibilities
- Architect Scalable Intelligence: Design and deploy cutting-edge machine learning pipelines capable of handling petabyte-scale data streams with real-time inference.
- Research & Development: Lead research initiatives in model alignment, ethical AI bias mitigation, and reinforcement learning for complex decision-making scenarios.
- System Optimization: Engineer high-performance neural networks optimized for edge computing and distributed cloud environments.
- Cross-Functional Leadership: Collaborate with product teams and hardware engineers to integrate AI solutions directly into next-generation consumer hardware.
- Talent Mentorship: Guide a team of top-tier data scientists and ML engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field with a focus on AI.
- Technical Mastery: Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and experience training state-of-the-art transformer models.
- Programming: Proficiency in Python, C++, and Rust, with a strong understanding of GPU optimization and high-performance computing.
- Experience: Minimum 5+ years of experience in machine learning engineering at top-tier tech firms or research labs.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.