Job Description
Nexus Horizon is pioneering the The 2026 Initiative, a groundbreaking research project aimed at defining the artificial intelligence landscape for the coming decade. We are looking for a visionary Senior AI Engineer to lead our core development teams in San Francisco.
As part of our elite technical squad, you will architect scalable neural networks, optimize generative models, and integrate them into seamless user interfaces. This is not just a job; it is a mission to build the technology that will power the world in 2026 and beyond. If you thrive in a high-stakes, innovative environment and want to leave a lasting legacy in the tech industry, we want to meet you.
Responsibilities
- Architect Core Systems: Design and implement high-performance AI models that power the Nexus Horizon platform, focusing on scalability and real-time processing.
- Lead Innovation: Spearhead research into emerging AI paradigms relevant to the 2026 timeline, including advanced NLP and computer vision.
- Cross-Functional Collaboration: Partner with UX designers and software engineers to translate complex algorithms into intuitive, user-friendly applications.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Performance Optimization: Rigorously test and optimize models for latency, accuracy, and resource efficiency in production environments.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 7+ years of professional experience in AI/ML engineering, with a proven track record of deploying production-level models.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++.
- Domain Knowledge: Strong understanding of Large Language Models (LLMs) and Generative AI architectures.
- Leadership: Demonstrated ability to lead engineering teams and manage complex technical projects from conception to deployment.
- Problem Solving: Exceptional analytical skills with the ability to troubleshoot complex technical challenges.