Job Description
Shape the Future of Intelligence
Nexus Future Labs is at the forefront of the 2026 Horizon Initiative, a multi-year research project aimed at defining the next evolution of Artificial General Intelligence (AGI). We are seeking a visionary Senior AI Research Scientist to lead our core team in developing scalable, ethical, and robust AI systems that will define the technological landscape of the year 2026 and beyond.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and practical, high-impact deployment. You will work in a high-performance environment, collaborating with world-class engineers, ethicists, and product strategists to build systems that are not only intelligent but also aligned with human values.
Why Join Us?
- Impact: Work on projects that have a global impact on healthcare, finance, and scientific discovery.
- Autonomy: Enjoy significant autonomy in research direction and methodology.
- Equity: Competitive equity package tied to the long-term success of the 2026 initiative.
Responsibilities
- Lead Strategic Research: Define and execute the technical roadmap for the 2026 AI architecture, focusing on large-scale transformer models and reinforcement learning.
- Model Development: Design, train, and fine-tune state-of-the-art machine learning models capable of handling complex, multi-modal data inputs.
- Cross-Functional Collaboration: Partner with product teams to translate theoretical research into deployable APIs and consumer-facing features.
- Technical Mentorship: Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning within the team.
- Ethical AI Oversight: Ensure all models adhere to safety guidelines, bias mitigation protocols, and transparency standards.
- Publication & Patenting: Author high-impact research papers for top-tier conferences and secure patents for proprietary algorithms.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field from a top-tier institution.
- Experience: Minimum 6+ years of experience in machine learning research and development, with a proven track record of publications in venues like NeurIPS, ICML, or ACL.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Deep understanding of NLP, Computer Vision, or Graph Neural Networks.
- Strategic Vision: Demonstrated ability to think long-term and architect systems that remain relevant and scalable in a rapidly evolving tech landscape (2026 vision).
- Communication: Exceptional ability to communicate complex technical concepts to diverse audiences, including non-technical stakeholders.
- Agility: Experience working in fast-paced, agile environments with tight iteration cycles.