Job Description
We are at the forefront of the next industrial revolution. Nexus Horizon Labs is seeking a visionary AI Research Engineer to spearhead projects that define the landscape of Artificial Intelligence in 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical research and scalable production systems, ensuring our solutions are resilient, efficient, and ahead of the curve.
Why Join Us?
As we accelerate towards the 2026 paradigm shift in AI, we offer unparalleled access to compute resources, a culture of radical transparency, and the opportunity to build technology that changes the world. You will work alongside world-class engineers and data scientists in a fast-paced, high-impact environment.
What You Will Do:
Collaborate on the architecture of next-generation large language models, optimize deep learning inference pipelines for edge devices, and contribute to our open-source AI ecosystem.
Responsibilities
- Architect and implement state-of-the-art machine learning models tailored for 2026 infrastructure standards.
- Conduct rigorous research in generative AI, reinforcement learning, and multimodal learning.
- Optimize model performance and reduce latency in high-throughput production environments.
- Collaborate with cross-functional teams to translate research breakthroughs into user-facing products.
- Mentor junior engineers and foster a culture of technical excellence.
- Stay ahead of industry trends, specifically focusing on AGI safety and scalability.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.