Job Description
Are you ready to architect the future of artificial intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Research Scientist to spearhead our pre-2026 technology roadmap. In this pivotal role, you will define the next generation of generative models, autonomous agents, and scalable machine learning systems. We are not just looking for an expert; we are looking for a pioneer who can translate theoretical breakthroughs into tangible products that will dominate the year 2026 and beyond.
Join a world-class team of engineers, ethicists, and data scientists committed to pushing the boundaries of what's possible. You will have the autonomy to experiment, the resources to scale, and the impact to change the world.
Why Join Us?
- Work on cutting-edge AI technologies that define the 2026 landscape.
- Competitive compensation package with equity options.
- Flexible work environment in the heart of the tech hub.
Responsibilities
- Lead the research and development of next-generation Large Language Models (LLMs) and multimodal systems.
- Define and execute the strategic technical roadmap for the 2026 product suite.
- Collaborate with cross-functional teams to translate research findings into scalable production models.
- Mentor junior researchers and data scientists, fostering a culture of innovation and excellence.
- Publish high-impact papers in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Optimize model inference speeds and reduce computational costs for edge deployment.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI research, with at least 2 years in a leadership or senior technical role.
- Proven track record of publishing in reputable AI conferences or patents in machine learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of deep learning architectures, transformers, and reinforcement learning.
- Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.