Job Description
We are at the forefront of the 2026 technology revolution, building the intelligent systems that will define the future of human interaction. Nexus Horizon is seeking a visionary Senior AI & Machine Learning Engineer to lead our next-generation autonomous systems division.
If you are passionate about pushing the boundaries of neural networks, generative AI, and quantum-inspired computing, this is your opportunity to shape the trajectory of the industry. You will work alongside world-class researchers and engineers to deploy scalable AI models that solve complex, real-world problems.
Why join Nexus Horizon?
- Work on cutting-edge projects that define the 2026 roadmap.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work options.
- Access to state-of-the-art hardware and computing clusters.
Ready to engineer the future? Apply today.
Responsibilities
- Architect and deploy scalable machine learning models for autonomous decision-making systems.
- Lead the research and implementation of next-gen Generative AI and Large Language Models (LLMs).
- Optimize existing models for inference speed and reduce latency on edge devices.
- Collaborate with cross-functional teams to integrate AI solutions into consumer hardware products.
- Establish best practices for data privacy, ethics, and model explainability in AI development.
- Mentor junior engineers and conduct code reviews to ensure high technical standards.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- 5+ years of professional experience in machine learning engineering, AI, or robotics.
- Expert proficiency in Python, PyTorch, TensorFlow, and JAX.
- Strong understanding of deep learning architectures, transformers, and reinforcement learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).