Job Description
We are seeking a visionary Senior AI Research Engineer to spearhead our 2026 roadmap. In an era defined by rapid technological evolution, you will be at the forefront of defining the next generation of Artificial General Intelligence (AGI) and autonomous systems.
At Nexus Horizon, we don't just predict the future; we build it. We are looking for a leader who thrives on ambiguity and possesses the technical prowess to solve complex, unsolved problems. This is not just a job; it is an opportunity to shape the technological landscape for the next decade.
Why Join Us?
- Work on cutting-edge Neuromorphic Computing and Edge AI deployment.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with premium office amenities in SF.
Responsibilities
- Architect and Lead: Design and implement next-generation Neural Networks and Large Language Models (LLMs) tailored for the 2026 enterprise landscape.
- Scalability: Oversee the transition from theoretical research concepts to scalable, production-ready systems ensuring zero latency.
- Collaboration: Partner with product and engineering teams to integrate advanced AI solutions into consumer-facing applications.
- Ethical AI: Establish rigorous ethical guidelines and safety protocols for autonomous AI agents to ensure responsible deployment.
- Innovation: Conduct cutting-edge research in Reinforcement Learning, Generative Adversarial Networks (GANs), and multimodal AI.
- Mentorship: Guide and mentor junior researchers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Research Track Record: Proven history of publishing in top-tier AI conferences (NeurIPS, ICML, ICRA) or patenting novel algorithms.
- Core Skills: Strong understanding of Reinforcement Learning, Natural Language Processing (NLP), and Computer Vision.
- Experience: 5+ years of experience in AI research roles within high-growth tech environments or leading research labs.
- Problem Solving: Ability to deconstruct complex problems and devise elegant, mathematical solutions.