Job Description
We are pioneering the technologies that will define the 2026 technology landscape. Nexus Horizon AI is seeking a visionary Senior AI Research Scientist to lead our advanced predictive modeling and generative AI initiatives. In this role, you will architect the algorithms that power our next-generation autonomous systems and shape the future of human-machine interaction.
If you are passionate about pushing the boundaries of what is possible in artificial intelligence and have a keen eye for the strategic trends of 2026, we want to hear from you. Join a team of world-class engineers and data scientists dedicated to building the infrastructure for tomorrow.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic vision for AI development, identifying emerging trends and technologies that will dominate the next decade.
- Architect Scalable Models: Design, implement, and optimize deep learning models capable of processing complex, real-time data streams.
- Research & Publication: Publish high-impact research papers in top-tier conferences (NeurIPS, ICML) to establish thought leadership in the AI community.
- Lead a High-Performing Team: Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
- Collaborate with Stakeholders: Translate complex technical concepts into actionable insights for executive leadership and product teams.
- Ensure Ethical AI: Implement robust frameworks for bias detection, fairness, and transparency in all AI systems.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of professional experience in AI/ML research or applied engineering.
- Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow; experience with large language models (LLMs) and transformer architectures.
- Strategic Vision: Demonstrated ability to anticipate industry shifts and define technical strategies for future horizons.
- Leadership: Proven track record of leading cross-functional teams and managing large-scale research projects.
- Communication: Excellent written and verbal communication skills for technical presentations and documentation.