Job Description
Are you ready to architect the future of intelligence? Nexus Horizon AI is leading the 2026 Initiative, a groundbreaking research project dedicated to developing the next generation of autonomous, adaptive artificial intelligence systems. We are seeking a visionary AI Research Engineer to push the boundaries of what is possible in machine learning and deep learning.
In this role, you will not just implement existing models; you will design the architectures that will power the AI landscape of 2026 and beyond. You will work in a high-performance environment with top-tier talent, focusing on scalability, efficiency, and ethical AI development.
Why Join Us?
- Work on cutting-edge research with direct impact on global AI standards.
- Competitive compensation and equity packages.
- Flexible work environment with a focus on innovation.
Responsibilities
- Design and implement scalable machine learning pipelines for large-scale language models and multimodal systems.
- Conduct rigorous research to optimize model performance, reducing inference costs by up to 40%.
- Collaborate with cross-functional teams to translate theoretical research into production-ready software.
- Mentor junior researchers and contribute to the academic community through publications and open-source contributions.
- Ensure all systems adhere to strict ethical guidelines and safety protocols.
- Experiment with novel architectures including transformers, diffusion models, and reinforcement learning agents.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of experience in research engineering or applied machine learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of distributed computing systems (e.g., Kubernetes, Ray, Spark).
- Strong track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or open-source repositories.
- Experience with GPU optimization and cloud infrastructure (AWS, GCP, Azure).