Job Description
About the 2026 Initiative
Nexus Horizons is pioneering the future of generative intelligence. As part of our elite '2026 Horizon' division, you will be at the forefront of defining the technological landscape of the next decade. We are looking for a visionary Senior AI Research Scientist to architect the next generation of autonomous systems and neural interfaces.
Why Join Us?
- Work on cutting-edge projects that define the future of human-computer interaction.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a focus on innovation.
Role Overview
We are seeking an expert in deep learning and large-scale model optimization. You will lead a team of engineers and data scientists to push the boundaries of what is possible in AI safety and scalability.
Responsibilities
- Lead Research Directions: Define and execute the technical roadmap for our 2026 flagship AI product, focusing on generative adversarial networks and reinforcement learning.
- Model Development: Design, train, and fine-tune large-scale transformer models with a focus on efficiency and interpretability.
- Technical Leadership: Mentor junior researchers and data scientists, fostering a culture of continuous learning and rigorous experimentation.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex research into scalable, production-ready solutions.
- Publishing & Thought Leadership: Author and publish high-impact papers in top-tier AI conferences and journals to establish Nexus Horizons as an industry leader.
- Ethical AI: Ensure all models adhere to strict ethical guidelines and safety protocols regarding bias, privacy, and transparency.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of experience in research roles within top-tier tech companies or academic institutions.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Domain Knowledge: Proven track record of publishing in venues such as NeurIPS, ICML, ICLR, or ACL.
- Problem Solving: Ability to tackle complex, open-ended problems with novel algorithmic approaches.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex concepts to diverse audiences.