Job Description
We are not just building software; we are architecting the reality of 2026 and beyond. At Nexus Horizon, we are on a mission to pioneer the next generation of Agentic AI and autonomous systems. If you are a visionary engineer ready to move beyond traditional machine learning into the realm of sentient, self-improving algorithms, we want to hear from you.
Join our elite team in San Francisco and help define the technological landscape of the future. You will work with cutting-edge hardware, quantum-ready software stacks, and a culture that rewards radical innovation.
Responsibilities
- Architect Next-Gen AI Systems: Design and deploy scalable machine learning models that power autonomous agents and predictive ecosystems.
- Quantum-Ready Implementation: Bridge the gap between classical and quantum computing paradigms to optimize algorithmic performance.
- Pipeline Optimization: Build robust data pipelines capable of ingesting petabytes of real-time data for continuous model training.
- Model Interpretability & Ethics: Lead the charge in creating transparent, unbiased, and ethically sound AI solutions.
- Cross-Functional Leadership: Collaborate with product, design, and research teams to translate complex 2026 vision into technical specifications.
- Research & Development: Stay at the forefront of the industry, experimenting with novel neural architectures and reinforcement learning techniques.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in deep learning, NLP, or computer vision. Experience in a startup or high-growth environment is a plus.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Kubernetes, Ray).
- Strategic Thinking: Ability to think long-term and design systems that are adaptable to future technological shifts.
- Communication: Excellent verbal and written communication skills; ability to explain complex technical concepts to non-technical stakeholders.