Job Description
We are seeking a visionary Lead AI Research Scientist to drive our mission of defining the intelligence paradigms of 2026 and beyond. At Nexus Horizon Labs, we are not just building models; we are engineering the cognitive foundation for the next generation of digital reality.
In this pivotal role, you will spearhead the development of advanced Generative AI architectures, focusing on scalability, ethical alignment, and real-time adaptability. You will bridge the gap between theoretical breakthroughs and tangible applications, ensuring our solutions remain at the forefront of the industry.
If you are passionate about the intersection of mathematics, code, and human potential, and you want to leave a legacy in the technology of tomorrow, we want to hear from you.
Responsibilities
- Define the 2026 Research Roadmap: Lead the strategic vision for our next-generation Large Language Models (LLMs) and Multimodal systems, setting technical milestones for the next two years.
- Architect Scalable Systems: Design and optimize deep neural network architectures capable of processing exabyte-scale data with zero-latency inference.
- Lead High-Performance Teams: Mentor and manage a team of top-tier PhD researchers and ML engineers, fostering a culture of innovation and rigorous scientific inquiry.
- Drive Cross-Functional Collaboration: Partner with product and engineering teams to translate complex research findings into scalable, production-ready software solutions.
- Publish and Patent: Author papers for top-tier conferences (NeurIPS, ICML, ACL) and secure patents for proprietary algorithms.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence, Deep Learning, or Natural Language Processing.
- Experience: 8+ years of experience in AI research, with at least 3 years in a leadership or senior technical role.
- Technical Expertise: Deep proficiency in Python, PyTorch, or TensorFlow, and extensive knowledge of transformer models, attention mechanisms, and reinforcement learning.
- Strategic Mindset: Proven track record of defining long-term technical roadmaps and delivering results in fast-paced, high-growth environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and present research findings to executive leadership.