Job Description
Architect the Future of Intelligence
Apex Horizon Technologies is at the forefront of the 2026 technological renaissance. We are seeking a visionary Director of Advanced AI Research to spearhead our 2026 Autonomous Systems Initiative. In this role, you will define the architectural blueprints for the next generation of human-machine interaction, moving beyond current limitations into the realm of true predictive reasoning.
Why Join Us?
- Impact: Directly shape the roadmap for technologies expected to define the 2026 landscape.
- Autonomy: Work in a remote-first environment with headquarters in the heart of San Francisco's innovation district.
- Resources: Access to state-of-the-art compute clusters and a budget dedicated to radical innovation.
We are not just building software; we are engineering the cognitive infrastructure for tomorrow.
Responsibilities
- Lead the strategic vision for the 2026 AI Roadmap, focusing on scalable, self-evolving neural architectures.
- Oversee the development of Large Language Models (LLMs) optimized for low-latency, high-stakes decision making.
- Collaborate with cross-functional engineering teams to integrate quantum-ready algorithms into cloud infrastructure.
- Mentor a team of top-tier researchers and engineers, fostering a culture of radical candor and technical excellence.
- Establish partnerships with academic institutions to stay ahead of the curve on breakthroughs expected by 2026.
- Define key performance indicators (KPIs) for AI model accuracy, safety, and ethical alignment.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum 8 years of experience in leading AI research teams or as a Principal Engineer in a tech unicorn.
- Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow) and experience training models at scale.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Strong understanding of ethical AI principles and bias mitigation strategies.
- Experience with edge computing and deployment of AI models in real-time environments.