Job Description
Are you ready to architect the future of artificial intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Research Scientist to lead our groundbreaking initiatives designed for the year 2026 and beyond. In this pivotal role, you will define the trajectory of next-gen generative models, ensuring our technology remains at the bleeding edge of innovation.
We are not just building software; we are building the infrastructure for tomorrow's digital reality. Join a world-class team of engineers and data scientists dedicated to solving humanity's most complex problems through advanced machine learning.
Why Join Nexus Horizon Labs?
- Impact: Your work will directly shape the AI landscape of 2026 and influence global technological standards.
- Innovation: Work with state-of-the-art hardware and proprietary algorithms.
- Benefits: Comprehensive health coverage, equity package, and unlimited PTO.
Responsibilities
- Lead the research and development of cutting-edge Large Language Models (LLMs) and generative AI systems tailored for 2026 requirements.
- Design and implement novel neural network architectures to improve model efficiency and accuracy.
- Collaborate with cross-functional teams to translate theoretical research into scalable, production-ready products.
- Publish high-impact papers in top-tier AI conferences (NeurIPS, ICML, ICLR) and contribute to the open-source community.
- Mentor junior researchers and PhD candidates, fostering a culture of continuous learning and excellence.
- Evaluate emerging technologies to ensure our roadmap remains competitive in the rapidly evolving tech landscape.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, Mathematics, or a related field.
- 5+ years of experience in applied machine learning research or a related role.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Strong background in Natural Language Processing (NLP) and Deep Learning.
- Proven track record of publishing peer-reviewed research papers.
- Experience with distributed computing systems (Spark, Kubernetes) is highly preferred.
- Demonstrated ability to think strategically about long-term technological trends.