Job Description
Join the Vanguard of Tomorrow. Nexus Horizon is pioneering the Project 2026 initiative, a groundbreaking exploration into Artificial General Intelligence (AGI) and sustainable computing paradigms. We are looking for a visionary Lead AI Researcher to architect the algorithms that will define the next decade of human-machine interaction.
In this role, you will not just write code; you will shape the ethical and technical frameworks of the future. You will lead a world-class team of engineers and data scientists in solving complex problems that have no textbook answers.
Why Nexus Horizon?
- Work on mission-critical AI infrastructure.
- Competitive equity and benefits package.
- Remote-first culture with state-of-the-art equipment.
- Direct impact on the evolution of the tech landscape.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance machine learning models and infrastructure for the Project 2026 ecosystem.
- Research & Development: Lead the research agenda in advanced NLP, computer vision, or reinforcement learning, pushing the boundaries of current AI capabilities.
- Team Mentorship: Guide and mentor junior researchers and engineers, fostering a culture of innovation, continuous learning, and technical excellence.
- Cross-Functional Collaboration: Partner with product managers, ethicists, and engineers to translate theoretical research into practical, market-ready solutions.
- Publication & Thought Leadership: Contribute to top-tier academic journals and industry conferences, establishing Nexus Horizon as a thought leader in the AI space.
- Feasibility Analysis: Evaluate emerging technologies and methodologies to ensure Project 2026 remains at the cutting edge of technological advancement.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
- Experience: Minimum of 5-7 years of experience in machine learning research and development, with a proven track record of leading technical projects.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and cloud architecture (AWS/GCP).
- Problem Solving: Exceptional ability to solve ambiguous, high-complexity problems with creative, data-driven solutions.
- Communication: Superior verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences.
- Passion: A genuine passion for the future of AI and a commitment to ethical AI development.