Job Description
We are seeking a visionary Senior AI Research Scientist to join our elite team at Nexus Horizon Labs. Our mission is to pioneer the 2026 Era of Autonomous Intelligence, bridging the gap between theoretical machine learning and practical, scalable systems. In this role, you will architect the neural foundations that will power our enterprise solutions, focusing on Generative AI, Transformer Optimization, and Quantum-ML hybrid approaches.
Why Join Us?
As we prepare for the technological shifts of 2026, we are building a future-proof infrastructure. You will have the autonomy to define research agendas, mentor junior talent, and push the boundaries of what is possible in Artificial Intelligence. We offer a competitive benefits package, including stock options, remote-first flexibility, and access to cutting-edge hardware.
Responsibilities
- Design and deploy state-of-the-art machine learning models tailored for the 2026 technological landscape, focusing on efficiency and scalability.
- Lead research initiatives exploring the intersection of Generative AI and reinforcement learning to solve complex business problems.
- Optimize existing neural network architectures to reduce latency and increase throughput for real-time applications.
- Collaborate with cross-functional teams including product managers, engineers, and data scientists to translate research into production-grade code.
- Mentor junior researchers and contribute to the technical roadmap for the 2026 roadmap initiatives.
- Stay at the forefront of AI advancements, evaluating new tools and frameworks to improve our development lifecycle.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in AI/ML research and production deployment.
- Deep expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Experience with large language models (LLMs) and fine-tuning techniques.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or open-source contributions.
- Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders.