Job Description
We are seeking a visionary Senior AI Research Engineer to architect the artificial intelligence systems that will define the year 2026 and beyond. At Nexus Horizons, we are not merely building software; we are constructing the foundational logic of tomorrow's digital world.
In this pivotal role, you will lead the research and development of next-generation Large Language Models (LLMs) integrated with quantum-inspired computing architectures. You will operate at the intersection of theoretical computer science and practical engineering, collaborating with a world-class team to solve problems that currently seem impossible.
Why This Role is Unique:
- Impact-Driven: Your work will directly shape the trajectory of AI development for the next decade.
- Elite Environment: Work alongside industry pioneers in a culture of innovation and autonomy.
- Competitive Compensation: Includes a base salary, performance bonus, and significant equity stake.
If you are passionate about the future of intelligence and ready to push the boundaries of what is possible, we invite you to apply.
Responsibilities
- Lead the design and implementation of novel deep learning algorithms and neural network architectures.
- Research and prototype quantum-computing integration techniques for classical AI models.
- Optimize model inference speed and resource efficiency for edge and cloud deployment.
- Collaborate with product teams to translate complex research into scalable, production-ready software.
- Mentor junior researchers and conduct rigorous code reviews to maintain high technical standards.
- Publish original research findings in top-tier AI conferences (NeurIPS, ICML, etc.).
- Stay abreast of the latest advancements in AI to ensure our technology remains at the cutting edge.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 5+ years of professional experience in AI/ML, with a strong focus on NLP or Deep Learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) is a strong plus.
- Proven track record of shipping production-grade machine learning systems.
- Strong problem-solving skills and the ability to work independently in a fast-paced, ambiguous environment.
- Excellent communication skills for technical writing and stakeholder presentations.