Job Description
The Opportunity: Nexus Horizon Technologies is pioneering the 2026 Vision initiative, a cutting-edge research project aimed at redefining human-computer interaction through advanced artificial intelligence. We are seeking a visionary AI Architect to lead our engineering team in building the foundational models for the next decade.
In this role, you won't just write code; you will architect the future. You will work with a world-class team of researchers and engineers to develop scalable, secure, and ethical AI systems designed to solve complex global challenges.
Why Join Us?
- Impact: Directly contribute to the strategic roadmap for 2026 and beyond.
- Autonomy: Work in a high-trust environment with significant decision-making power.
- Compensation: Competitive salary and equity package.
Responsibilities
- Architect Future-Proof Systems: Design and implement robust machine learning pipelines capable of scaling to petabyte-level datasets.
- Lead the 2026 Roadmap: Define technical milestones and drive the execution of our strategic vision for advanced AI integration.
- Model Development: Spearhead the research and development of proprietary Large Language Models (LLMs) and generative AI tools.
- Optimization: Continuously optimize model inference latency and reduce computational costs without sacrificing accuracy.
- Collaboration: Partner with product and design teams to translate technical capabilities into user-centric features.
- Mentorship: Guide junior engineers and researchers, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Experience: 5+ years of experience in machine learning engineering, specifically in NLP or computer vision.
- Leadership: Proven track record of leading technical teams and delivering complex projects on time.
- Cloud Knowledge: Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Ability to tackle ambiguous problems and propose innovative solutions for the 2026 era.