Job Description
Join the Vanguard of Artificial Intelligence.
We are pioneering the next frontier of generative intelligence. As the Senior 2026 AI Research Lead, you will be at the helm of defining the architectural standards for our flagship models. This is not just a job; it is a mission to solve the unsolvable.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will lead a world-class team of researchers and engineers, ensuring our proprietary technology remains 12 months ahead of the curve.
Why Nexus AI Labs?
- Competitive compensation packages including equity.
- Unlimited PTO and remote-first flexibility.
- Access to the world's most advanced compute infrastructure.
- A culture that celebrates radical candor and scientific curiosity.
Ready to shape the future? Apply today.
Responsibilities
- Lead the research and development of proprietary Large Language Models (LLMs) and multimodal architectures targeted for the 2026 market cycle.
- Design and implement novel training pipelines, focusing on efficiency, scalability, and cost optimization.
- Mentor and grow a high-performance team of data scientists and ML engineers.
- Collaborate with the product team to translate complex research findings into user-centric features.
- Publish high-impact papers at top-tier AI conferences (NeurIPS, ICML, ICLR) and maintain a strong public presence.
- Define the ethical guidelines and safety protocols for autonomous AI agents.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in leading AI research teams or as a Principal Research Scientist.
- Deep expertise in Deep Learning, Natural Language Processing, or Reinforcement Learning.
- Proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries.
- Proven track record of deploying production-grade AI models with high accuracy.
- Strong background in distributed systems and high-performance computing.
- Exceptional communication skills with the ability to explain complex technical concepts to diverse audiences.